Event List
retrieve:
Return the details about the given Event id.
list:
List all Event objects.
GET /api/v1/events/?format=api&offset=200&ordering=-event__contact
{ "count": 253, "next": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=210&ordering=-event__contact", "previous": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=190&ordering=-event__contact", "results": [ { "id": 72637, "title": "EPFL BioEngineering Talks", "slug": "epfl-bioengineering-talks-8", "event_url": "https://memento.epfl.ch/event/epfl-bioengineering-talks-8", "visual_url": "https://memento.epfl.ch/image/33882/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33882/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33882/max-size.jpg", "lang": "en", "start_date": "2026-10-26", "end_date": "2026-10-26", "start_time": "12:15:00", "end_time": "13:45:00", "description": "<p>Weekly BioEngineering Talks (Lunch Provided)<br>\r\n<br>\r\n<strong>INVITED SPEAKER:</strong><br>\r\n<br>\r\n<strong>Advancing Multidimensional Single-Molecule localization microscopy: development and applications in nuclear organization</strong><br>\r\n<a href=\"http://institut-curie.org/person/bassam-hajj\"><strong>Dr. Bassam Hajj</strong></a>, Institut Curie, Paris<br>\r\nHost: <a href=\"https://people.epfl.ch/aleksandra.radenovic?lang=en\">Prof. Aleksandra Radenovic</a><br>\r\n<br>\r\n<u><strong>Abstract:</strong></u><br>\r\nSingle-molecule localization microscopy (SMLM) has revolutionized our understanding of biological processes by providing access to spatial scales beyond the diffraction limit of conventional optical microscopy. In the study of the cell nucleus, SMLM has offered unique insights into its organization and function at the nanoscale. Nuclear architecture is structured across multiple spatial scales in three dimensions and is highly dynamic. Understanding the mechanisms that govern nuclear organization therefore requires imaging approaches capable of capturing molecular dynamics across a broad range of spatial and temporal scales and in diverse biological contexts. Although SMLM can routinely achieve spatial resolutions in the tens-of-nanometers range, many biologically relevant structures and processes remain beyond its reach. For example, resolving the precise organization of DNA at the molecular scale remains challenging, as it would require a substantial improvement in spatial resolution over conventional SMLM, while also addressing the high density and degree of molecular compaction within the nucleus. <br>\r\nOver the years, we have developed complementary strategies to address these challenges by introducing additional dimensions and observables into SMLM measurements. In this presentation, I will first discuss our approaches to three-dimensional single-molecule imaging, including multifocus microscopy and volumetric light-sheet excitation, which enable fast and sensitive imaging over extended volumes and in complex biological samples such as cell colonies. While these approaches provide access to the three-dimensional and temporal dimensions required to investigate nuclear organization, spatial resolution alone is not always sufficient to distinguish molecular arrangements. We have therefore extended SMLM further by implementing polarization-resolved multifocus microscopy (PolMFM), which combines three-dimensional localization with information on molecular orientation.<br>\r\nI will illustrate how these multidimensional approaches can provide new insights into nuclear organization, with examples spanning different biological systems. In particular, I will present evidence for a long-range, crystal-like organization of DNA within the nuclei of mature sperm cells from crickets, demonstrating how multidimensional imaging can reveal structural features that remain inaccessible to conventional localization microscopy.<br>\r\nFinally, I will discuss the challenges and opportunities associated with visualizing, analyzing, and interactively exploring the multidimensional datasets generated by these approaches. Together, these developments illustrate how extending SMLM beyond conventional two-dimensional localization can provide new ways to interrogate the organization and dynamics of biological systems at the nanoscale.<br>\r\n<br>\r\n<br>\r\n<u><strong>Bio:</strong></u><br>\r\nBassam Hajj is a physicist and CNRS researcher at Institut Curie in Paris, where he is a member of the Physics of Cells and Cancer unit and co-leads the “Light-based Observation and Control of Cellular Organization” team. His research focuses on the development of advanced optical microscopy techniques, particularly single-molecule localization microscopy, 3D imaging, and multidimensional approaches for studying cellular organization at the nanoscale.<br>\r\nAfter completing his PhD at École Normale Supérieure de Cachan on electro-optical microscopy, Bassam joined Janelia Research Campus as a postdoctoral researcher, where he worked on multifocus microscopy for fast and sensitive single-molecule imaging. He subsequently returned to Institut Curie and joined the CNRS as a permanent researcher in 2016.<br>\r\nHis current research combines innovative microscopy, quantitative image analysis, and data visualization to investigate molecular organization and dynamics, with a particular focus on nuclear organization.<br>\r\n<br>\r\n<strong>STUDENT SPEAKER:</strong><br>\r\n<br>\r\n<strong>Transcription Factor Dose in Stem Cell Reprogramming: Insights from Single-Cell Multi-Omics</strong><br>\r\n<strong><a href=\"https://people.epfl.ch/angelika.gebhart?lang=en\">Angelika Gebhart</a>, </strong><a href=\"https://www.epfl.ch/labs/deplanckelab/\">Deplancke Lab</a><br>\r\n<br>\r\n<br>\r\n------------------------------------------------------------------------------<br>\r\n<br>\r\n<strong>BioEngineering Talks mandatory EDBB Seminar Attendance (1st-Year PhD Students)</strong>\r\n</p><ul>\r\n\t<li> Attendance sheet to print <a class=\"text-link\" href=\"https://docs.google.com/document/d/1kusGxCFPAvWaRD8eUGEBkSVzD1ppMf1g/edit\" target=\"_blank\">HERE </a></li>\r\n</ul>\r\n<strong>The BioEngineering Student Seminar Series</strong> is an official course for which students can register and earn credits.<br>\r\n \r\n<ul>\r\n\t<li>Register <a class=\"text-link\" href=\"https://edu.epfl.ch/studyplan/fr/ecole_doctorale/biotechnologie-et-genie-biologique/coursebook/bioengineering-student-seminar-series-BIOENG-613\" target=\"_blank\">HERE</a></li>\r\n\t<li>Attendance sheet to print <a class=\"text-link\" href=\"https://docs.google.com/document/d/1ZGrPnt8LlLuWOApzx32s6L5UPPH8Hyoo/edit\" target=\"_blank\">HERE</a></li>\r\n</ul>\r\n<strong>General information:</strong><br>\r\nIn-person attendance is preferred to support your fellow students. Zoom is mainly for students on remote campuses; please notify <a class=\"text-link\" href=\"mailto:[email protected]\" target=\"_blank\">Fiorella Ghisays</a> in advance and join using your full name.<br>\r\nIf attending in person, have your sheet signed after the talk and keep the original, as no copy is retained.<br>\r\n ", "image_description": "", "creation_date": "2026-09-22T14:23:42", "last_modification_date": "2026-09-22T14:43:05", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "SV 1717", "url_place_and_room": "https://plan.epfl.ch/?room==SV%201717", "url_online_room": "https://epfl.zoom.us/j/68746410793", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "Invited Speaker and Student Speaker", "organizer": "Institute of Bioengineering", "contact": "<a href=\"mailto:[email protected]?subject=EPFL%20BioE%20Talks%20Series\">Fiorella Ghisays</a>, Institute of Bioengineering", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "", "file": "https://memento.epfl.ch/public/upload/files/BioEngineeringTalkMemento_u0lzmcg.jpg", "icalendar_url": "https://memento.epfl.ch/event/export/121879/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/9/?format=api", "https://memento.epfl.ch/api/v1/mementos/111/?format=api", "https://memento.epfl.ch/api/v1/mementos/434/?format=api" ] }, { "id": 72640, "title": "EPFL BioEngineering Talks", "slug": "epfl-bioengineering-talks-11", "event_url": "https://memento.epfl.ch/event/epfl-bioengineering-talks-11", "visual_url": "https://memento.epfl.ch/image/33885/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33885/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33885/max-size.jpg", "lang": "en", "start_date": "2026-10-12", "end_date": "2026-10-12", "start_time": "12:15:00", "end_time": "13:00:00", "description": "<p>Weekly BioEngineering Talks (Lunch Provided)<br>\r\n<br>\r\n<strong>INVITED SPEAKER:</strong><br>\r\n<br>\r\n<strong>De novo design of light-responsive proteins</strong><br>\r\n<a href=\"https://people.epfl.ch/alexander.hilditch?lang=en\"><strong>Dr. Alexander Hilditch</strong>,</a> EPFL Laboratory of Protein Design & Immunoengineering <br>\r\nHost: <a href=\"https://people.epfl.ch/bruno.correia?lang=en\">Prof. Bruno Correia</a><br>\r\n<br>\r\n<br>\r\n------------------------------------------------------------------------------<br>\r\n<br>\r\n<strong>BioEngineering Talks mandatory EDBB Seminar Attendance (1st-Year PhD Students)</strong>\r\n</p><ul>\r\n\t<li> Attendance sheet to print <a class=\"text-link\" href=\"https://docs.google.com/document/d/1kusGxCFPAvWaRD8eUGEBkSVzD1ppMf1g/edit\" target=\"_blank\">HERE </a></li>\r\n</ul>\r\n<strong>The BioEngineering Student Seminar Series</strong> is an official course for which students can register and earn credits.<br>\r\n \r\n<ul>\r\n\t<li>Register <a class=\"text-link\" href=\"https://edu.epfl.ch/studyplan/fr/ecole_doctorale/biotechnologie-et-genie-biologique/coursebook/bioengineering-student-seminar-series-BIOENG-613\" target=\"_blank\">HERE</a></li>\r\n\t<li>Attendance sheet to print <a class=\"text-link\" href=\"https://docs.google.com/document/d/1ZGrPnt8LlLuWOApzx32s6L5UPPH8Hyoo/edit\" target=\"_blank\">HERE</a></li>\r\n</ul>\r\n<strong>General information:</strong><br>\r\nIn-person attendance is preferred to support your fellow students. Zoom is mainly for students on remote campuses; please notify <a class=\"text-link\" href=\"mailto:[email protected]\" target=\"_blank\">Fiorella Ghisays</a> in advance and join using your full name.<br>\r\nIf attending in person, have your sheet signed after the talk and keep the original, as no copy is retained.<br>\r\n ", "image_description": "", "creation_date": "2026-09-22T15:48:04", "last_modification_date": "2026-09-29T15:50:23", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "SV 1717", "url_place_and_room": "https://plan.epfl.ch/?room==SV%201717", "url_online_room": "https://epfl.zoom.us/j/68746410793", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "Invited Speaker and Student Speaker", "organizer": "Institute of Bioengineering", "contact": "<a href=\"mailto:[email protected]?subject=EPFL%20BioE%20Talks%20Series\">Fiorella Ghisays</a>, Institute of Bioengineering", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "", "file": "https://memento.epfl.ch/public/upload/files/BioEngineeringTalkMemento_u0lzmcg.jpg", "icalendar_url": "https://memento.epfl.ch/event/export/121882/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/9/?format=api", "https://memento.epfl.ch/api/v1/mementos/111/?format=api", "https://memento.epfl.ch/api/v1/mementos/434/?format=api" ] }, { "id": 72772, "title": "EPFL BioEngineering Talks", "slug": "epfl-bioengineering-talks-12", "event_url": "https://memento.epfl.ch/event/epfl-bioengineering-talks-12", "visual_url": "https://memento.epfl.ch/image/33988/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33988/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33988/max-size.jpg", "lang": "en", "start_date": "2026-11-02", "end_date": "2026-11-02", "start_time": "12:15:00", "end_time": "13:45:00", "description": "<p>Weekly BioEngineering Talks (Lunch Provided)<br>\r\n<br>\r\n<strong>INVITED SPEAKER:</strong><br>\r\n<strong>From single-molecule biophysics with Graphene Energy Transfer to Brownian DNA computing</strong><br>\r\n<strong><a href=\"https://tinnefeld.cup.uni-muenchen.de/publications/group-theses/https-tinnefeld-cup-uni-muenchen-de-members/philip-tinnefeld/\">Prof. Dr. Philip Tinnefeld</a>,</strong> LMU Munich<br>\r\nHost: <a href=\"https://people.epfl.ch/aleksandra.radenovic?lang=en\">Prof. Aleksandra Radenovic</a><br>\r\n<br>\r\n<u><strong>Abstract:</strong></u><br>\r\nGraphene-on-glass coverslips are an emerging microscopy platform as resonant energy transfer to graphene offers an axial ruler in the 5-40 nm range. I present single molecule biophysics experiments of protein/DNA interactions using Graphene Energy Transfer (GET) in combination with the discovery that dsDNA adopts a vertical orientation on graphene. Axial information of DNA structure and protein positions is deduced from GET-efficiency and xy-information is obtained e.g. by photon-efficient pMINFLUX revealing simultaneous bending and torsion of enzyme induced DNA conformations. Finally, I discuss how multi-color smFRET with dark quenchers probes states of DNA nanorobots and Brownian DNA computers that work close to the thermodynamic optimum.<br>\r\n<br>\r\n<u><strong>Bio:</strong></u><br>\r\nPhilip Tinnefeld is a Professor of Physical Chemistry at Ludwig-Maximilians-Universität München, leading a highly interdisciplinary NanoBioSciences research group that brings together molecular biology, biophysics, nanophotonics, and physical chemistry. He specialises in single-molecule detection and super-resolution microscopy, and he uses DNA origami to build modular nanoscale devices—such as force sensors, fluorescence amplifiers, and molecular robots—that can sense, compute, and respond autonomously. Under his leadership, the lab is also developing advanced biosensing platforms and imaging tools by combining DNA nanotechnology with 2D materials like graphene, pushing the frontiers of how we observe and control biological processes at the molecular level.<br>\r\n<br>\r\n<strong>STUDENT SPEAKER:</strong><br>\r\n<br>\r\n<strong>Understanding oxidative stress response in animals - a case study of the essential enzyme adenosylhomocysteinase, AHCY</strong><br>\r\n<strong><a href=\"https://people.epfl.ch/yong-qi.gao?lang=en\">Yong-Qi Gao</a>, </strong><a href=\"https://www.epfl.ch/labs/upzenk/\">Zenk Lab</a><br>\r\n<br>\r\n<br>\r\n------------------------------------------------------------------------------<br>\r\n<br>\r\n<strong>BioEngineering Talks mandatory EDBB Seminar Attendance (1st-Year PhD Students)</strong>\r\n</p><ul>\r\n\t<li> Attendance sheet to print <a class=\"text-link\" href=\"https://docs.google.com/document/d/1kusGxCFPAvWaRD8eUGEBkSVzD1ppMf1g/edit\" target=\"_blank\">HERE </a></li>\r\n</ul>\r\n<strong>The BioEngineering Student Seminar Series</strong> is an official course for which students can register and earn credits.<br>\r\n \r\n<ul>\r\n\t<li>Register <a class=\"text-link\" href=\"https://edu.epfl.ch/studyplan/fr/ecole_doctorale/biotechnologie-et-genie-biologique/coursebook/bioengineering-student-seminar-series-BIOENG-613\" target=\"_blank\">HERE</a></li>\r\n\t<li>Attendance sheet to print <a class=\"text-link\" href=\"https://docs.google.com/document/d/1ZGrPnt8LlLuWOApzx32s6L5UPPH8Hyoo/edit\" target=\"_blank\">HERE</a></li>\r\n</ul>\r\n<strong>General information:</strong><br>\r\nIn-person attendance is preferred to support your fellow students. Zoom is mainly for students on remote campuses; please notify <a class=\"text-link\" href=\"mailto:[email protected]\" target=\"_blank\">Fiorella Ghisays</a> in advance and join using your full name.<br>\r\nIf attending in person, have your sheet signed after the talk and keep the original, as no copy is retained.<br>\r\n ", "image_description": "", "creation_date": "2026-10-06T10:24:19", "last_modification_date": "2026-10-06T10:33:07", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "SV 1717", "url_place_and_room": "https://plan.epfl.ch/?room==SV%201717", "url_online_room": "https://epfl.zoom.us/j/68746410793", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "Invited Speaker and Student Speaker", "organizer": "Institute of Bioengineering", "contact": "<a href=\"mailto:[email protected]?subject=EPFL%20BioE%20Talks%20Series\">Fiorella Ghisays</a>, Institute of Bioengineering", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "", "file": "https://memento.epfl.ch/public/upload/files/BioEngineeringTalkMemento_u0lzmcg.jpg", "icalendar_url": "https://memento.epfl.ch/event/export/122074/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/9/?format=api", "https://memento.epfl.ch/api/v1/mementos/111/?format=api", "https://memento.epfl.ch/api/v1/mementos/434/?format=api" ] }, { "id": 72466, "title": "SSOM Fall Meeting | In Situ Microscopy: Recent Developments", "slug": "ssom-fall-meeting-in-situ-microscopy-recent-develo", "event_url": "https://memento.epfl.ch/event/ssom-fall-meeting-in-situ-microscopy-recent-develo", "visual_url": "https://memento.epfl.ch/image/33714/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33714/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33714/max-size.jpg", "lang": "en", "start_date": "2026-11-25", "end_date": "2026-11-25", "start_time": "10:00:00", "end_time": "14:00:00", "description": "<p>The <strong><a href=\"https://ssom.ch/en\">SSOM</a> Fall Meeting 2026</strong> will bring together researchers and microscopy specialists for a focused day dedicated to <strong>recent developments in <em>in situ</em> elecron microscopy</strong>.<br>\r\n<br>\r\nThe meeting will feature invited talks highlighting advances in instrumentation, methodologies, and applications of <em>in situ</em> electron microscopy, providing an opportunity to exchange ideas, discuss emerging approaches, and connect with colleagues from across the microscopy community.<br>\r\n<br>\r\nThe scientific programme will be followed by a visit to the <strong><a href=\"http://www.cpps-vs.ch/home\">CPPS</a> (Centre Pédagogique Prévention Séisme)</strong>, offering participants an additional opportunity to discover a unique facility in Valais.<br>\r\n<br>\r\n<sub><em>Registration required</em></sub><br>\r\n<br>\r\n<br>\r\n<strong>Programme</strong><br>\r\n<br>\r\n<strong>10:00</strong> | Welcome coffee<br>\r\n<strong>10:20</strong> | Opening remarks<br>\r\n<strong>10:30</strong> | Talk by <strong>Dr. Rolf Erni (EMPA)</strong><br>\r\n<strong>11:00</strong> | Talk by <strong>Dr. Thomas LaGrange (EPFL)</strong><br>\r\n<strong>11:20</strong> | Talk by <strong>Dr. Robin Schäublin (ETHZ)</strong><br>\r\n<strong>11:40</strong> | Lunch & coffee<br>\r\n<strong>13:20</strong> | Talk by <strong>Dr. Milivoj Plodinec (ETHZ)</strong><br>\r\n<strong>13:40</strong> | Closing remarks<br>\r\n<strong>14:00</strong> | Visit to <strong>CPPS</strong></p>", "image_description": "", "creation_date": "2026-08-28T13:26:33", "last_modification_date": "2026-09-08T09:22:06", "link_label": "Registration link", "link_url": "https://ssom.clubdesk.com/fall_meeting2026", "canceled": "False", "cancel_reason": "", "place_and_room": "ALPOLE - EPFL Valais Wallis", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "<strong>Swiss Society for Optics and Microscopy (SSOM)</strong>", "contact": "<a href=\"mailto:[email protected]?subject=SSOM%20Memento\">Emad Oveisi</a>", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "In Situ, Electron Microscopy, Swiss Society for Optics and Microscopy (SSOM)", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/121621/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/110/?format=api" ] }, { "id": 72770, "title": "Exploiting Structure in Nonconvex Stochastic Optimization: Auxiliary Information, Second-Order Methods, and Compositional Objectives", "slug": "exploiting-structure-in-nonconvex-stochastic-opt-2", "event_url": "https://memento.epfl.ch/event/exploiting-structure-in-nonconvex-stochastic-opt-2", "visual_url": "https://memento.epfl.ch/image/33985/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33985/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33985/max-size.jpg", "lang": "en", "start_date": "2026-10-16", "end_date": "2026-10-16", "start_time": "17:00:00", "end_time": null, "description": "<p>Thesis Director: Prof. M. Jaggi,<br>\r\nComputer and Communication Sciences doctoral program<br>\r\nThesis Nr. 10949<br>\r\n<br>\r\nTo take part in the public defense, please contact directly the speaker</p>", "image_description": "", "creation_date": "2026-10-05T16:13:36", "last_modification_date": "2026-10-05T16:13:38", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "BC 010", "url_place_and_room": "https://plan.epfl.ch/?room==BC%20010", "url_online_room": "https://epfl.zoom.us/j/62739766043?pwd=p8yKL25d1VSaj4yhpcgUFnOebdXI5p.1", "spoken_languages": [], "speaker": "<a href=\"mailto:[email protected]\"><strong>El Mahdi CHAYTI</strong></a>", "organizer": "", "contact": "<a href=\"mailto:[email protected]\"><strong>El Mahdi CHAYTI</strong></a><br>\r\n ", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "EDIC", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/122071/", "category": { "id": 12, "code": "SOUTE", "fr_label": "Soutenances de thèses", "en_label": "Thesis defenses", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api" ] }, { "id": 72663, "title": "Systems for Knowledge Reuse in Distributed Machine Learning", "slug": "systems-for-knowledge-reuse-in-distributed-machi-2", "event_url": "https://memento.epfl.ch/event/systems-for-knowledge-reuse-in-distributed-machi-2", "visual_url": "https://memento.epfl.ch/image/33895/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33895/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33895/max-size.jpg", "lang": "en", "start_date": "2026-10-09", "end_date": "2026-10-09", "start_time": "18:00:00", "end_time": null, "description": "<p>Thesis Directors: Prof. A.-M. Kermarrec, Prof. R. Guerraoui<br>\r\nComputer and Communication Sciences doctoral program<br>\r\nThesis Nr. 11716<br>\r\n<br>\r\nTo take part in the public defense, please contact directly the speaker</p>", "image_description": "", "creation_date": "2026-09-23T12:58:53", "last_modification_date": "2026-09-23T12:58:56", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "BC 420", "url_place_and_room": "https://plan.epfl.ch/?room==BC%20420", "url_online_room": "https://epfl.zoom.us/j/67510236624", "spoken_languages": [], "speaker": "<a href=\"mailto:[email protected]\"><strong>Diana Andreea PETRESCU</strong></a>", "organizer": "", "contact": "<a href=\"mailto:[email protected]\"><strong>Diana Andreea PETRESCU</strong></a><br>\r\n ", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "EDIC", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/121914/", "category": { "id": 12, "code": "SOUTE", "fr_label": "Soutenances de thèses", "en_label": "Thesis defenses", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api" ] }, { "id": 70956, "title": "G protein-coupled receptors functional dynamics revealed by experimental and computational structural data", "slug": "g-protein-coupled-receptors-functional-dynamics-re", "event_url": "https://memento.epfl.ch/event/g-protein-coupled-receptors-functional-dynamics-re", "visual_url": "https://memento.epfl.ch/image/32345/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32345/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32345/max-size.jpg", "lang": "en", "start_date": "2026-10-07", "end_date": "2026-10-09", "start_time": null, "end_time": null, "description": "<p>You can apply to participate and find all the relevant information (speakers, abstracts, program,...) on the event website: <a href=\"https://www.cecam.org/workshop-details/g-protein-coupled-receptors-functional-dynamics-revealed-by-experimental-and-computational-structural-data-1488\">https://www.cecam.org/workshop-details/g-protein-coupled-receptors-functional-dynamics-revealed-by-experimental-and-computational-structural-data-1488</a>.<br>\r\n<br>\r\nRegistration is required to attend the full event, take part in the social activities and present a poster at the poster session (if any). However, the EPFL community is welcome to attend specific lectures without registration if the topic is of interest to their research. Do not hesitate to contact the <a href=\"mailto:[email protected]\">CECAM Event Manager</a> if you have any question.<br>\r\n<br>\r\n<strong>Description</strong><br>\r\n<br>\r\nG protein-coupled receptors (GPCRs) represent a vast and diverse class of transmembrane proteins that orchestrate a wide range of physiological processes by responding to both endogenous and exogenous ligands [1,2]. These receptors are essential to critical functions such as metabolism, immune regulation, neuronal signaling, and sensory perception - including vision and olfaction. Due to their physiological relevance and membrane accessibility, GPCRs are the targets of approximately 34% of all prescribed medications, accounting for nearly 27% of the global pharmaceutical market [3]. <br>\r\nDespite their pharmaceutical importance, key aspects of GPCR function remain elusive. The canonical activation model posits that agonist binding to the extracellular orthosteric site triggers allosteric changes - most notably, the outward displacement of transmembrane helices 5 (TM5) and 6 (TM6) on the intracellular side - ultimately leading to receptor activation [2-4]. However, recent evidence suggests a more nuanced mechanism. In several GPCRs, activation appears to involve cooperative engagement between the agonist and the G protein. For example, the G protein may disrupt an \"inactivating ionic lock\" - a salt bridge between TM3 and TM6 - while the agonist stabilizes the active conformation. In some receptors, this is complemented by the formation of an “activating ionic lock” between TM5 and TM6 [5-8]. These dual contributions are considered thermodynamically essential for full activation [7].<br>\r\nAdding further complexity, GPCR activity is regulated by conformational microswitches and finely tuned intra-protein interaction networks. These dynamic rearrangements are difficult to capture and often elude direct correlation with functional outcomes. Moreover, allosteric ligands - which bind sites distinct from the orthosteric pocket - are being increasingly identified [9-12], along with small molecules capable of biased signaling, i.e., preferential activation of specific intracellular pathways [11-13, 16, 17]. These findings reveal a rich and underexplored conformational landscape that governs GPCR signaling. In addition, native membrane components—such as lipids and interacting proteins, including GPCR oligomers—are known to significantly modulate receptor function [11, 18-22].<br>\r\nTo disentangle these intricacies, computational modeling has become indispensable, offering atomistic insight into GPCR conformational dynamics and mechanistic understanding [1-2, 7, 11, 14, 16–21, 23]. Nevertheless, key questions remain - particularly regarding the structural basis of biased signaling, strategies for leveraging allosteric networks in pharmacology, and the modulatory role of the lipid environment. Addressing these gaps is crucial for both fundamental biology and the rational design of next-generation GPCR-targeting drugs with improved selectivity and safety profiles. <br>\r\nThese scientific challenges form the foundation of our upcoming workshop, which will focus on the latest experimental and computational approaches for studying the functional dynamics of GPCRs. Given the profound health, economic, and societal implications of modulating these receptors with precision, we aim to strengthen the interdisciplinary nature of the event by increasing the representation of experimental research and integrating cutting-edge artificial intelligence applications into the program.<br>\r\nBuilding upon the success of the 2022 and 2024 editions - which led to new collaborations and a landmark publication in <em>Nature Reviews Drug Discovery</em> [24] - our goal is to further enhance communication and collaboration between experimentalists and theoreticians. The workshop will serve as a reference point for young scientists and students, offering a platform to interact with leading international experts. We are confident that this initiative will foster insightful discussions and contribute meaningfully to advancing the field of GPCR pharmacology.<br>\r\n<br>\r\n<strong>References</strong><br>\r\n<br>\r\n<a href=\"https://doi.org/10.1038/nrd.2017.229\" target=\"_blank\">[1] J. Smith, R. Lefkowitz, S. Rajagopal, Nat. Rev. Drug. Discov., <strong>17</strong>, 243-260 (2018)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41573-024-01083-3\" target=\"_blank\">[2] P. Conflitti, E. Lyman, M. Sansom, P. Hildebrand, H. Gutiérrez-de-Terán, P. Carloni, T. Ansell, S. Yuan, P. Barth, A. Robinson, C. Tate, D. Gloriam, S. Grzesiek, M. Eddy, S. Prosser, V. Limongelli, Nat. Rev. Drug. Discov., <strong>24</strong>, 251-275 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41589-024-01682-6\" target=\"_blank\">[3] L. Picard, A. Orazietti, D. Tran, A. Tucs, S. Hagimoto, Z. Qi, S. Huang, K. Tsuda, A. Kitao, A. Sljoka, R. Prosser, Nat. Chem. Biol., <strong>21</strong>, 71-79 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.drudis.2020.10.006\" target=\"_blank\">[4] B. Huang, C. St. Onge, H. Ma, Y. Zhang, Drug Discovery Today, <strong>26</strong>, 189-199 (2021)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41467-023-42082-z\" target=\"_blank\">[5] D. Di Marino, P. Conflitti, S. Motta, V. Limongelli, Nat. Commun., <strong>14</strong>, 6439 (2023)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.ceb.2018.10.007\" target=\"_blank\">[6] G. Milligan, R. Ward, S. Marsango, Current Opinion in Cell Biology, <strong>57</strong>, 40-47 (2019)</a><br>\r\n<a href=\"https://doi.org/10.7554/elife.73901\" target=\"_blank\">[7] S. Huang, O. Almurad, R. Pejana, Z. Morrison, A. Pandey, L. Picard, M. Nitz, A. Sljoka, R. Prosser, eLife, <strong>11</strong>, (2022)</a><br>\r\n<a href=\"https://doi.org/10.1146/annurev-pharmtox-010919-023411\" target=\"_blank\">[8] A. Duncan, W. Song, M. Sansom, Annu. Rev. Pharmacol. Toxicol., <strong>60</strong>, 31-50 (2020)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41467-025-60003-0\" target=\"_blank\">[9] A. Morales-Pastor, T. Miljuš, M. Dieguez-Eceolaza, T. Stępniewski, V. Ledesma-Martin, F. Heydenreich, T. Flock, B. Plouffe, C. Le Gouill, J. Duchaine, D. Sykes, C. Nicholson, E. Koers, W. Guba, A. Rufer, U. Grether, M. Bouvier, D. Veprintsev, J. Selent, Nat. Commun., <strong>16</strong>, 5265 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41586-022-05588-y\" target=\"_blank\">[10] A. Faouzi, H. Wang, S. Zaidi, J. DiBerto, T. Che, Q. Qu, M. Robertson, M. Madasu, A. El Daibani, B. Varga, T. Zhang, C. Ruiz, S. Liu, J. Xu, K. Appourchaux, S. Slocum, S. Eans, M. Cameron, R. Al-Hasani, Y. Pan, B. Roth, J. McLaughlin, G. Skiniotis, V. Katritch, B. Kobilka, S. Majumdar, Nature, <strong>613</strong>, 767-774 (2022)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41467-022-31652-2\" target=\"_blank\">[11] M. Wall, E. Hill, R. Huckstepp, K. Barkan, G. Deganutti, M. Leuenberger, B. Preti, I. Winfield, S. Carvalho, A. Suchankova, H. Wei, D. Safitri, X. Huang, W. Imlach, C. La Mache, E. Dean, C. Hume, S. Hayward, J. Oliver, F. Zhao, D. Spanswick, C. Reynolds, M. Lochner, G. Ladds, B. Frenguelli, Nat. Commun., <strong>13</strong>, 4150 (2022)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41580-018-0049-3\" target=\"_blank\">[12] D. Wootten, A. Christopoulos, M. Marti-Solano, M. Babu, P. Sexton, Nat. Rev. Mol. Cell. Biol., <strong>19</strong>, 638-653 (2018)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41594-017-0011-7\" target=\"_blank\">[13] D. Hilger, M. Masureel, B. Kobilka, Nat. Struct. Mol. Biol., <strong>25</strong>, 4-12 (2018)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41467-025-57034-y\" target=\"_blank\">[14] D. Aranda-García, T. Stepniewski, M. Torrens-Fontanals, A. García-Recio, M. Lopez-Balastegui, B. Medel-Lacruz, A. Morales-Pastor, A. Peralta-García, M. Dieguez-Eceolaza, D. Sotillo-Nuñez, T. Ding, M. Drabek, C. Jacquemard, J. Jakowiecki, W. Jespers, M. Jiménez-Rosés, V. Jun-Yu-Lim, A. Nicoli, U. Orzel, A. Shahraki, J. Tiemann, V. Ledesma-Martin, F. Nerín-Fonz, S. Suárez-Dou, O. Canal, G. Pándy-Szekeres, J. Mao, D. Gloriam, E. Kellenberger, D. Latek, R. Guixà-González, H. Gutiérrez-de-Terán, I. Tikhonova, P. Hildebrand, M. Filizola, M. Babu, A. Di Pizio, S. Filipek, P. Kolb, A. Cordomi, T. Giorgino, M. Marti-Solano, J. Selent, Nat. Commun., <strong>16</strong>, 2020 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41586-018-0259-z\" target=\"_blank\">[15] D. Thal, A. Glukhova, P. Sexton, A. Christopoulos, Nature, <strong>559</strong>, 45-53 (2018)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.tips.2020.12.005\" target=\"_blank\">[16] L. Slosky, M. Caron, L. Barak, Trends in Pharmacological Sciences, <strong>42</strong>, 283-299 (2021)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.apsb.2023.07.020\" target=\"_blank\">[17] C. Zhu, X. Lan, Z. Wei, J. Yu, J. Zhang, Acta Pharmaceutica Sinica B, <strong>14</strong>, 67-86 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.chempr.2024.08.004\" target=\"_blank\">[18] V. D’Amore, P. Conflitti, L. Marinelli, V. Limongelli, Chem, <strong>10</strong>, 3678-3698 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41557-023-01238-6\" target=\"_blank\">[19] A. Mafi, S. Kim, W. Goddard, Nat. Chem., <strong>15</strong>, 1127-1137 (2023)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41594-024-01334-2\" target=\"_blank\">[20] H. Batebi, G. Pérez-Hernández, S. Rahman, B. Lan, A. Kamprad, M. Shi, D. Speck, J. Tiemann, R. Guixà-González, F. Reinhardt, P. Stadler, M. Papasergi-Scott, G. Skiniotis, P. Scheerer, B. Kobilka, J. Mathiesen, X. Liu, P. Hildebrand, Nat. Struct. Mol. Biol., <strong>31</strong>, 1692-1701 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.cell.2015.04.043\" target=\"_blank\">[21] A. Manglik, T. Kim, M. Masureel, C. Altenbach, Z. Yang, D. Hilger, M. Lerch, T. Kobilka, F. Thian, W. Hubbell, R. Prosser, B. Kobilka, Cell, <strong>161</strong>, 1101-1111 (2015)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.cell.2020.03.003\" target=\"_blank\">[22] M. Congreve, C. de Graaf, N. Swain, C. Tate, Cell, <strong>181</strong>, 81-91 (2020)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41573-025-01139-y\" target=\"_blank\">[23] J. Lorente, A. Sokolov, G. Ferguson, H. Schiöth, A. Hauser, D. Gloriam, Nat. Rev. Drug. Discov., <strong>24</strong>, 458-479 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1111/bph.16495\" target=\"_blank\">[24] M. Lopez‐Balastegui, T. Stepniewski, M. Kogut‐Günthel, A. Di Pizio, M. Rosenkilde, J. Mao, J. Selent, British. J. Pharmacology., <strong>182</strong>, 3211-3224 (2024)</a>\r\n</p><div class=\"active tab-pane\"> </div>", "image_description": "", "creation_date": "2026-01-26T16:00:31", "last_modification_date": "2026-01-26T16:45:08", "link_label": "G protein-coupled receptors functional dynamics revealed by experimental and computational structura", "link_url": "https://www.cecam.org/workshop-details/g-protein-coupled-receptors-functional-dynamics-revealed-by-experimental-and-computational-structural-data-1488", "canceled": "False", "cancel_reason": "", "place_and_room": "Aula Magna, USI Lugano", "url_place_and_room": "https://www.desk.usi.ch/en/lugano-campus-map-access-facilities", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "<strong>Vittorio Limongelli</strong>, Università della Svizzera Italiana USI Lugano ; <strong>Scott Prosser</strong>, University of Toronto ; <strong>Stefano Raniolo</strong>, Università della Svizzera Italiana ; <strong>Jana Selent</strong>, Hospital Del Mar Medical Research Institute", "contact": "<a href=\"mailto:[email protected]\"><strong>Cornelia Bujenita</strong></a>, CECAM Events and Operations Manager", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119453/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api" ] }, { "id": 70957, "title": "From Data to Dynamics: Machine Learning in Statistical Mechanics and Molecular Simulations", "slug": "from-data-to-dynamics-machine-learning-in-statis-2", "event_url": "https://memento.epfl.ch/event/from-data-to-dynamics-machine-learning-in-statis-2", "visual_url": "https://memento.epfl.ch/image/32346/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32346/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32346/max-size.jpg", "lang": "en", "start_date": "2026-10-14", "end_date": "2026-10-16", "start_time": null, "end_time": null, "description": "<p>You can apply to participate and find all the relevant information (speakers, abstracts, program,...) on the event website: <a href=\"https://www.cecam.org/workshop-details/from-data-to-dynamics-machine-learning-in-statistical-mechanics-and-molecular-simulations-1487\">https://www.cecam.org/workshop-details/from-data-to-dynamics-machine-learning-in-statistical-mechanics-and-molecular-simulations-1487</a>.<br>\r\n<br>\r\nRegistration is required to attend the full event, take part in the social activities and present a poster at the poster session (if any). However, the EPFL community is welcome to attend specific lectures without registration if the topic is of interest to their research. Do not hesitate to contact the <a href=\"mailto:[email protected]\">CECAM Event Manager</a> if you have any question.<br>\r\n<br>\r\n<strong>Description</strong><br>\r\nSince its introduction in the 1970s, molecular dynamics (MD) has become an indispensable computational microscope for studying complex biological systems at atomic resolution. It has enabled detailed investigations into protein folding, conformational dynamics, and ligand binding and unbinding. Over the past decade, increasing computational power has made microsecond-scale simulations routine, producing massive datasets that demand sophisticated analysis strategies [1]. Despite these advances, conventional MD simulations still face a fundamental limitation: many biologically relevant events occur over milliseconds to seconds—timescales largely inaccessible to standard MD.<br>\r\nTo bridge this gap, researchers increasingly turn to enhanced sampling techniques—such as metadynamics and umbrella sampling [2,3]—and coarse-grained (CG) modeling approaches [4]. These methods enable more comprehensive exploration of the system’s free energy landscape, yet their success critically depends on the selection of appropriate reaction coordinates or collective variables (CVs). CVs must capture the slowest, most functionally relevant motions to accurately reflect thermodynamic and kinetic behavior. However, identifying suitable CVs remains one of the field’s most challenging tasks, typically requiring domain expertise and iterative refinement [5, 6].<br>\r\nThis complexity has fueled growing interest in machine learning (ML) techniques, which are now transforming how MD simulations are analyzed, interpreted, and even conducted. ML methods have been applied to automate CV discovery, perform dimensionality reduction, build thermodynamic and kinetic models, and enhance sampling efficiency [7]. These models often employ artificial neural networks or graph neural networks to map high-dimensional molecular configurations—such as Cartesian coordinates or molecular descriptors—into low-dimensional representations suitable for analysis [8].<br>\r\nDepending on the structure and type of data, ML algorithms can be broadly categorized into supervised, unsupervised, and reinforcement learning paradigms [9]. Supervised learning uses labeled input-output pairs to predict properties such as molecular energies or binding affinities [10], while unsupervised learning enables the identification of latent features, such as CVs, directly from data [11].<br>\r\nA cornerstone of modern ML-driven simulation is the development of symmetry-aware molecular representations. The predictive power of ML models hinges on encoding physical symmetries—like rotation and translation—directly into the model. E(3)-equivariant neural networks have emerged as powerful tools for this purpose, significantly improving data efficiency and generalization in learning potential energy surfaces [12]. Ongoing research continues to explore the optimal balance between enforcing strict symmetry and retaining model flexibility.<br>\r\nMeanwhile, breakthroughs in structural prediction—most notably the advent of AlphaFold 3—have revolutionized how researchers obtain initial molecular configurations. AlphaFold now provides remarkably accurate models of not only proteins but also their complexes with nucleic acids, ions, and small-molecule ligands [13]. However, these are static snapshots. They cannot capture dynamic behaviors, allosteric transitions, or binding kinetics—areas where physics-based simulations remain indispensable. Initial benchmarks suggest that even state-of-the-art predictors still fall short in modeling protein dynamics and ranking ligand binding affinities, further emphasizing the role of MD [14].<br>\r\nTo address the dimensionality and sampling bottlenecks, unsupervised ML approaches such as time-lagged autoencoders have reframed CV identification as a data-driven task. More recently, generative models—including diffusion models and variational autoencoders—have emerged as a new frontier. These models can learn the full conformational landscape of biomolecules and enable enhanced sampling, in some cases eliminating the need for predefined CVs altogether [15].<br>\r\nOnce accurate structural models and CVs are established, ML can significantly improve the estimation of thermodynamic and kinetic properties. In drug discovery, for instance, predicting protein–ligand binding affinity remains a central challenge. ML potentials trained on quantum mechanical data can be combined with enhanced sampling to yield highly accurate free energy landscapes and binding kinetics—results previously unattainable due to computational limitations [16]. However, challenges in data quality, model interpretability, and transferability remain critical areas of ongoing investigation [17].<br>\r\nFinally, ML is driving a renaissance in CG modeling. Deep neural networks can now learn many-body CG potentials directly from all-atom simulations, capturing emergent properties and enhancing transferability [18]. These models open the door to longer, larger-scale simulations with greater physical accuracy.<br>\r\nIn this rapidly evolving context, it becomes imperative to critically assess both the promise and limitations of ML in biomolecular simulation. The excitement surrounding these developments must be tempered by careful validation and benchmarking. This workshop thus serves as a timely opportunity—especially for early-career researchers—to explore these cutting-edge methods, engage in constructive dialogue, and chart new directions in the application of machine learning to molecular dynamics and drug discovery.<br>\r\n <br>\r\n<strong>References</strong><br>\r\n<br>\r\n<a href=\"https://doi.org/10.1103/physrevlett.98.146401\" target=\"_blank\">[1] J. Behler, M. Parrinello, Phys. Rev. Lett., <strong>98</strong>, 146401 (2007)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.sbi.2024.102972\" target=\"_blank\">[2] P. Sahrmann, G. Voth, Current Opinion in Structural Biology, <strong>90</strong>, 102972 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1021/acs.jcim.2c01127\" target=\"_blank\">[3] K. Kříž, L. Schmidt, A. Andersson, M. Walz, D. van der Spoel, J. Chem. Inf. Model., <strong>63</strong>, 412-431 (2023)</a><br>\r\n<a href=\"https://doi.org/10.3389/fmolb.2022.899805\" target=\"_blank\">[4] K. Ahmad, A. Rizzi, R. Capelli, D. Mandelli, W. Lyu, P. Carloni, Front. Mol. Biosci., <strong>9</strong>, (2022)</a><br>\r\n<a href=\"https://doi.org/10.1146/annurev-physchem-083122-125941\" target=\"_blank\">[5] S. Mehdi, Z. Smith, L. Herron, Z. Zou, P. Tiwary, Annual Review of Physical Chemistry, <strong>75</strong>, 347-370 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1101/2025.04.07.647682\" target=\"_blank\">[6] H. Zheng, H. Lin, A. Alade, J. Chen, E. Monroy, M. Zhang, J. Wang, AlphaFold3 in Drug Discovery: A Comprehensive Assessment of Capabilities, Limitations, and Applications, 2025</a><br>\r\n<a href=\"https://doi.org/10.1038/s41586-024-07487-w\" target=\"_blank\">[7] J. Abramson, J. Adler, J. Dunger, R. Evans, T. Green, A. Pritzel, O. Ronneberger, L. Willmore, A. Ballard, J. Bambrick, S. Bodenstein, D. Evans, C. Hung, M. O’Neill, D. Reiman, K. Tunyasuvunakool, Z. Wu, A. Žemgulytė, E. Arvaniti, C. Beattie, O. Bertolli, A. Bridgland, A. Cherepanov, M. Congreve, A. Cowen-Rivers, A. Cowie, M. Figurnov, F. Fuchs, H. Gladman, R. Jain, Y. Khan, C. Low, K. Perlin, A. Potapenko, P. Savy, S. Singh, A. Stecula, A. Thillaisundaram, C. Tong, S. Yakneen, E. Zhong, M. Zielinski, A. Žídek, V. Bapst, P. Kohli, M. Jaderberg, D. Hassabis, J. Jumper, Nature, <strong>630</strong>, 493-500 (2024)</a><br>\r\n[8] Fabian B. Fuchs, Daniel E. Worrall, Volker Fischer, Max Welling, NIPS'20: Proceedings of the 34th International Conference on Neural Information Processing Systems, Article No.: 166, Pages 1970 - 1981 (2020)<br>\r\n<a href=\"https://doi.org/10.1080/00268976.2020.1737742\" target=\"_blank\">[9] H. Sidky, W. Chen, A. Ferguson, Molecular Physics, <strong>118</strong>, (2020)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.sbi.2019.12.016\" target=\"_blank\">[10] Y. Wang, J. Lamim Ribeiro, P. Tiwary, Current Opinion in Structural Biology, <strong>61</strong>, 139-145 (2020)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41586-018-0337-2\" target=\"_blank\">[11] K. Butler, D. Davies, H. Cartwright, O. Isayev, A. Walsh, Nature, <strong>559</strong>, 547-555 (2018)</a><br>\r\n<a href=\"https://doi.org/10.1146/annurev-physchem-042018-052331\" target=\"_blank\">[12] F. Noé, A. Tkatchenko, K. Müller, C. Clementi, Annu. Rev. Phys. Chem., <strong>71</strong>, 361-390 (2020)</a><br>\r\n<a href=\"https://doi.org/10.1080/23746149.2021.2006080\" target=\"_blank\">[13] S. Kaptan, I. Vattulainen, Advances in Physics: X, <strong>7</strong>, (2022)</a><br>\r\n<a href=\"https://doi.org/10.1002/wcms.1455\" target=\"_blank\">[14] V. Limongelli, WIREs. Comput. Mol. Sci., <strong>10</strong>, (2020)</a><br>\r\n<a href=\"https://doi.org/10.1021/acs.chemrev.0c01195\" target=\"_blank\">[15] A. Glielmo, B. Husic, A. Rodriguez, C. Clementi, F. Noé, A. Laio, Chem. Rev., <strong>121</strong>, 9722-9758 (2021)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.sbi.2018.11.005\" target=\"_blank\">[16] A. Pak, G. Voth, Current Opinion in Structural Biology, <strong>52</strong>, 119-126 (2018)</a><br>\r\n<a href=\"https://doi.org/10.1021/jacs.6b05602\" target=\"_blank\">[17] M. Lelimousin, V. Limongelli, M. Sansom, J. Am. Chem. Soc., <strong>138</strong>, 10611-10622 (2016)</a><br>\r\n<a href=\"https://doi.org/10.3390/e16010163\" target=\"_blank\">[18] C. Abrams, G. Bussi, Entropy, <strong>16</strong>, 163-199 (2013)</a>\r\n</p><div class=\"active tab-pane\"> </div>", "image_description": "", "creation_date": "2026-01-26T16:07:22", "last_modification_date": "2026-01-26T16:45:31", "link_label": "From Data to Dynamics: Machine Learning in Statistical Mechanics and Molecular Simulations", "link_url": "https://www.cecam.org/workshop-details/from-data-to-dynamics-machine-learning-in-statistical-mechanics-and-molecular-simulations-1487", "canceled": "False", "cancel_reason": "", "place_and_room": "Aula Magna, USI Lugano", "url_place_and_room": "https://www.desk.usi.ch/en/lugano-campus-map-access-facilities", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "<strong>Daniele Angioletti, </strong>Università della Svizzera Italiana (USI) ; <strong>Vincenzo Maria D'Amore, </strong>University of Naples \"Federico II\" ; <strong>Marco De Vivo, </strong>Istituto Italiano di Tecnologia ; <strong>Francesco Saverio Di Leva, </strong>University of Naples Federico II ; <strong>Vittorio Limongelli, </strong>Università della Svizzera Italiana USI Lugano ; <strong>Gregory Voth, </strong>University of Chicago", "contact": "<a href=\"mailto:[email protected]\"><strong>Cornelia Bujenita</strong></a>, CECAM Events and Operations Manager", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119454/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api" ] }, { "id": 72608, "title": "MAMCS : Who writes the code? Algorithms, software, creativity, and reliability in the age of AI", "slug": "mamcs-who-writes-the-code-algorithms-software-cr-2", "event_url": "https://memento.epfl.ch/event/mamcs-who-writes-the-code-algorithms-software-cr-2", "visual_url": "https://memento.epfl.ch/image/33852/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33852/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33852/max-size.jpg", "lang": "en", "start_date": "2026-10-27", "end_date": "2026-10-27", "start_time": "15:00:00", "end_time": "18:00:00", "description": "<p>The Mary Ann Mansigh Conversation series focuses of non-strictly technical topics of cultural interest for the simulation and modelling community. The format reflects the informative and informal nature of these sessions, with talks introducing the subject followed by a conversation between the speakers and the audience.<br>\r\nThe lecture series \"<a href=\"https://www.cecam.org/lectures-categories/mary-ann-mansigh-series\">Mary Ann Mansigh Conversation series</a>\" is co-organized by CECAM (<a href=\"https://www.cecam.org/lectures-categories/www.cecam.org\">https://www.cecam.org</a>) and MARVEL (<a href=\"http://nccr-marvel.ch/\" target=\"_blank\">http://nccr-marvel.ch/</a>) at EPFL.<br>\r\n<br>\r\n<strong>Tuesday October 27, 2026, 15:00-18:00 CET</strong><br>\r\n<br>\r\nArtificial intelligence is changing how algorithms are conceived, how software is written, and how its outputs are verified. This conversation takes stock of where the field of simulation and modelling stands today and opens a discussion on future directions and best practices — how to safeguard reliability and scientific creativity, how to adapt notions of authorship and ownership for AI-assisted code, and how to preserve and ideally enhance the rich commercial and academic software ecosystem that has driven the growth of computational science in research and development.<br>\r\n<br>\r\n<strong>We invite submissions for contributed talks. If you would like to propose a contribution, please submit your abstract using this <a href=\"https://forms.gle/AXmRQWYvYY3g9wPWA\" rel=\"noopener noreferrer\" target=\"_blank\">form</a>. Deadline October 13, 2026.</strong><br>\r\n<br>\r\nThe conversation will take place at EPFL, in <a href=\"https://plan.epfl.ch/?room==BCH%202103\" target=\"_blank\">room BCH 2103</a> and online.<br>\r\n<br>\r\nZoom link <a href=\"https://epfl.zoom.us/j/68443642155?pwd=ZPjdZw2KmHzeQ9Pu376iLb0OyMXCV8.1\">https://epfl.zoom.us/j/68443642155?pwd=ZPjdZw2KmHzeQ9Pu376iLb0OyMXCV8.1</a><br>\r\n<br>\r\n<strong>Tentative program</strong><br>\r\n15:00 Welcome and introduction<br>\r\n15:10 Georg Kresse, University of Vienna, Austria<br>\r\n15:30 Miguel Marques Ruhr, University Bochum, Germany<br>\r\n15:50 Michele Ceriotti, EPFL, Switzerland<br>\r\n16:10 Short break<br>\r\n16:20 Contributed speaker 1<br>\r\n16:35 Contributed speaker 2<br>\r\n16:50 Contributed speaker 3<br>\r\n17:05 Discussion<br>\r\n17:30 Apero for in person participants<br>\r\n<br>\r\n<strong>Previous CECAM and MARVEL lectures can be found at</strong><br>\r\n<a contenteditable=\"false\" href=\"http://www.materialscloud.org/learn/sections/Btmngu/marvel-events\" target=\"_blank\" title=\"http://www.materialscloud.org/learn/sections/Btmngu/marvel-events\">https://www.materialscloud.org/learn/sections/Btmngu/marvel-events</a><br>\r\n<a contenteditable=\"false\" href=\"http://www.cecam.org/lectures\" target=\"_blank\" title=\"http://www.cecam.org/lectures\">https://www.cecam.org/lectures</a></p>", "image_description": "", "creation_date": "2026-09-17T11:29:02", "last_modification_date": "2026-09-17T11:39:28", "link_label": "Mary Ann Mansigh Conversation Series", "link_url": "https://www.cecam.org/lecture-details/who-writes-code-algorithms-software-creativity-and-reliability-age-ai", "canceled": "False", "cancel_reason": "", "place_and_room": "BCH 2103", "url_place_and_room": "https://plan.epfl.ch/?room==BCH%202103", "url_online_room": "https://epfl.zoom.us/j/68443642155?pwd=ZPjdZw2KmHzeQ9Pu376iLb0OyMXCV8.1", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "CECAM ; MARVEL", "contact": "<a href=\"mailto:[email protected]\"><strong>Cornelia Bujenita</strong></a>, CECAM Events & Operations Manager", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/121841/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api" ] }, { "id": 66924, "title": "Master Projects", "slug": "master-projects-2", "event_url": "https://memento.epfl.ch/event/master-projects-2", "visual_url": "https://memento.epfl.ch/image/28630/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/28630/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/28630/max-size.jpg", "lang": "en", "start_date": "2027-07-07", "end_date": "2027-07-31", "start_time": "08:00:00", "end_time": "18:00:00", "description": "<p>The final works of the Master’s students unfold as the outcome of individual journeys of research, exploration, and design. Each project traces its own path, yet together they open a shared field of questions about architecture today, spanning territory and public space, housing, industrial and cultural heritage, and architecture in the mountains. As the Final Juries take place, each project enters into dialogue with invited critics and faculty, revealing not only proposals, but also the questions, intentions, and explorations that shaped them.<br>\r\n<br>\r\n<strong>Dates</strong><br>\r\nFinal Juries: 07.-14.07.27<br>\r\nExhibtion: 07.-31.07.27<br>\r\n<br>\r\n<strong>Venue</strong><br>\r\n<a href=\"https://goo.gl/maps/Tunt7z37kSZXwuY99\">Rolex Learning Center</a><br>\r\nEPFL, Lausanne<br>\r\n<br>\r\n<a href=\"https://go.epfl.ch/sar-pdm-horaire-jurys-finaux-juillet\">Final Juries Timetable</a> ↗︎<br>\r\n<br>\r\n<strong>Credits</strong><br>\r\nProjects: Master's students in architecture, Exhibition: Zoé Bahy, Sophie Delhay, Corinne Waridel, Graphic design: Sandi Gazic & Roman Karrer, Event: Valérie Jacot-Descombes (MEDIACOM), Setting-up: ISS Team</p>", "image_description": "", "creation_date": "2024-09-13T10:38:03", "last_modification_date": "2026-08-04T15:29:02", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/1/?format=api", "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "<a href=\"http://architecturer.epfl.ch\">EPFL Architecture</a>", "contact": "<a href=\"mailto:[email protected]\">Corinne Waridel</a>", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "jurys, expositions", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/113415/", "category": { "id": 5, "code": "EXPO", "fr_label": "Expositions", "en_label": "Exhibitions", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/32/?format=api", "https://memento.epfl.ch/api/v1/mementos/391/?format=api" ] } ] }
