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{ "count": 238, "next": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=50&ordering=event__contact", "previous": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=30&ordering=event__contact", "results": [ { "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": 71389, "title": "Call for projects CROSS 2027", "slug": "call-for-projects-cross-2027", "event_url": "https://memento.epfl.ch/event/call-for-projects-cross-2027", "visual_url": "https://memento.epfl.ch/image/32738/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32738/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32738/max-size.jpg", "lang": "en", "start_date": "2026-03-18", "end_date": "2026-06-15", "start_time": "00:00:00", "end_time": "23:59:00", "description": "<p>The 2027 edition of the CROSS program calls upon researchers at <strong>EPFL and the University of Lausanne to submit proposals for joint projects</strong> that bring the natural sciences and engineering together with the social sciences and humanities.<br>\r\n<br>\r\nThrough this annual call for projects, CROSS provides competitive grants to support new seed research endeavors that have the potential to grow into full–scale interdisciplinary research projects.<br>\r\n<br>\r\n<em><strong>The 2024 CROSS call is open to all topics.</strong></em><br>\r\n<br>\r\n<strong><em>—————————————————————————————</em></strong><br>\r\n<br>\r\n<strong>PROPOSALS:</strong><br>\r\n<br>\r\nProposals must come from joint UNIL-EPFL teams, which bring together specialists in the human and social sciences on the one hand, with specialists from life sciences, natural sciences or engineering on the other. Up to six projects will be selected, with a maximum of CHF 60,000 awarded per project.\r\n</p><ul>\r\n\t<li><strong>Deadline for submission: Monday, June 15, 2026</strong></li>\r\n\t<li>Selected projects will be notified no later than September 30, 2026</li>\r\n\t<li>Project start date: January 1, 2027</li>\r\n\t<li>Project completion: by December 31, 2027</li>\r\n</ul>\r\nApplication and guidelines:\r\n\r\n<ul>\r\n\t<li><a href=\"https://www.epfl.ch/schools/cdh/wp-content/uploads/2026/03/CROSS-2027-Application.pdf\">Application form</a></li>\r\n\t<li><a href=\"https://www.epfl.ch/schools/cdh/wp-content/uploads/2026/03/CROSS-2027-Guidelines.pdf\">Guidelines</a></li>\r\n\t<li><a href=\"https://www.epfl.ch/schools/cdh/wp-content/uploads/2026/03/CROSS-2027-Ethics-self-assessment.pdf\">Ethics self-assessment</a></li>\r\n</ul>\r\n<strong>Further information: </strong><a href=\"mailto:[email protected]\"><strong>[email protected]</strong></a>", "image_description": "", "creation_date": "2026-03-17T10:28:32", "last_modification_date": "2026-03-18T08:31:50", "link_label": "Find out more about CROSS program", "link_url": "https://www.epfl.ch/schools/cdh/cross-2/", "canceled": "False", "cancel_reason": "", "place_and_room": "", "url_place_and_room": "", "url_online_room": "https://www.epfl.ch/research/funding/collaborative/cross/cross-2027/", "spoken_languages": [], "speaker": "", "organizer": "<a href=\"https://www.epfl.ch/research/funding/collaborative/cross/\">CROSS program (Collaborative Research on Science and Society)</a>", "contact": "<a href=\"mailto:[email protected]\"><strong>[email protected]</strong></a>", "is_internal": "False", "theme": "", "vulgarization": { "id": 3, "fr_label": "Expert", "en_label": "Expert" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "EPFL, UNIL", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120100/", "category": { "id": 16, "code": "PROP", "fr_label": "Appel à proposition", "en_label": "Call for proposal", "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/3/?format=api", "https://memento.epfl.ch/api/v1/mementos/4/?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/140/?format=api", "https://memento.epfl.ch/api/v1/mementos/79/?format=api", "https://memento.epfl.ch/api/v1/mementos/145/?format=api", "https://memento.epfl.ch/api/v1/mementos/21/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api" ] }, { "id": 71179, "title": "Full speed... But Where are Women in Formula 1?", "slug": "full-speed-but-where-are-women-in-formula-1", "event_url": "https://memento.epfl.ch/event/full-speed-but-where-are-women-in-formula-1", "visual_url": "https://memento.epfl.ch/image/32754/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32754/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32754/max-size.jpg", "lang": "en", "start_date": "2026-04-27", "end_date": "2026-04-27", "start_time": "18:00:00", "end_time": "21:00:00", "description": "<p>Extreme speed, millimeter precision, cutting-edge engineering, split-second strategic decisions — a world where every detail counts and performance is everything.<br>\r\nBut behind this high-tech spectacle, one question remains:<br>\r\n<br>\r\n<strong>Where are women?</strong><br>\r\n<br>\r\nIn 2026, while F1 embodies innovation and excellence, it remains one of the most male-dominated professional sports.<br>\r\nCoincidence… or a reflection of deeper, systemic mechanisms?<br>\r\n<br>\r\nThe EPFL Alumni Women Club, in partnership with EPFL Alumni, invites you to go beyond the surface, to understand the forces holding women back in F1.<br>\r\n<br>\r\nIn this open discussion, we will tackle the real questions:<br>\r\n— Is Formula 1 truly accessible to everyone?<br>\r\n— Are the barriers cultural, educational, physical… or systemic?<br>\r\n— Who decides today who gets to join the grid?<br>\r\n— And what role do the media, sponsors, and public play in maintaining—or challenging—this imbalance?<br>\r\n<br>\r\nA high-level exchange at the crossroads of sport, technology, and societal issues. This event offers a deep dive into the backstage of an iconic sport, decoding its codes and structures.<br>\r\nThe goal: to understand, but also to explore concrete levers for change.<br>\r\n<br>\r\nWe are honored to welcome key figures from the paddock:<br>\r\n<br>\r\n<strong>- Mattia Binotto</strong> EPFL engineer, Head of Audi F1 Project: Audi officially enters the FIA Formula 1 World Championship in 2026<br>\r\n<strong>- Laura Villars </strong>First woman candidate for FIA presidency 2025, and racing driver<br>\r\n<strong>- Vita Marina</strong> Project Manager of Power Unit Mechanical Systems at Audi Revolut F1 Team<br>\r\n- and <strong>other exclusive guests !</strong><br>\r\n<br>\r\n<strong>And to cap it off:</strong><br>\r\nExperience the new <a href=\"http://epflracingteam.ch/fr/\" rel=\"noopener noreferrer\" target=\"_blank\">EPFL Racing Team</a> car in an exclusive first look, followed by a guided tour of their workshops and laboratories.<br>\r\n<br>\r\nEvent in English</p>", "image_description": "", "creation_date": "2026-02-19T09:33:43", "last_modification_date": "2026-03-19T09:40:36", "link_label": "REGISTRATION", "link_url": "https://epflalumni.ch/fr/event/save-the-date-women-in-formula-1/2026/02/19/1102", "canceled": "False", "cancel_reason": "", "place_and_room": "RLC E1 240", "url_place_and_room": "https://plan.epfl.ch/?room==RLC%20E1%20240", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "<a href=\"https://epflalumni.ch/fr/group/women-s-club/34/about\" rel=\"noopener noreferrer\" target=\"_blank\">EPFL Alumni Women Club</a> & <a href=\"https://epflalumni.ch/fr\">EPFL Alumni</a>", "contact": "<a href=\"mailto:[email protected]?subject=Full%20speed...%20But%20Where%20are%20Women%20in%20Formula%201%3F\">Emmanuelle Yanguas</a>", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119794/", "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/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/21/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api" ] }, { "id": 71285, "title": "BeLEARN Barcamp 2026", "slug": "belearn-barcamp-2026", "event_url": "https://memento.epfl.ch/event/belearn-barcamp-2026", "visual_url": "https://memento.epfl.ch/image/32640/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32640/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32640/max-size.jpg", "lang": "en", "start_date": "2026-05-05", "end_date": "2026-05-05", "start_time": null, "end_time": null, "description": "<p>Are you a researcher, a practitioner, or a start-up with an innovative idea for a one- or two-year research project in the field of digitalisation in education?<br>\r\n<br>\r\nBeLEARN will host its annual Barcamp event on 5 May. Join us and develop your project ideas together with other interested parties and submit a project proposal.<br>\r\n<br>\r\nThis year's Barcamp will take place on <strong>5 May</strong>.<br>\r\n<br>\r\nRegister on <a href=\"https://belearn.discourse.group/c/barcamp-2026/5\">BeLEARN-Connect</a> until <strong>15 April</strong>. <br>\r\n<br>\r\nFind more information and step-by-step process on the <a href=\"https://belearn.swiss/en/research-practice/barcamp/\">Barcamp page</a>.<br>\r\n<br>\r\n- - - - - - - - -<br>\r\n<br>\r\n<strong>Key Dates for 2026</strong><br>\r\n<br>\r\n• Barcamp registration deadline: 15 April 2026<br>\r\n• Barcamp Day 1: 5 May 2026<br>\r\n• Barcamp Day 2 (optional): 21 May 2026<br>\r\n• Proposal submission deadline: 5 June 2026<br>\r\n• Funding decision: 15 July 2026<br>\r\n• Project start: January 2027 (or upon agreement)</p>", "image_description": "", "creation_date": "2026-03-03T11:07:26", "last_modification_date": "2026-03-03T11:14:37", "link_label": "Barcamp", "link_url": "https://belearn.swiss/en/research-practice/barcamp/", "canceled": "False", "cancel_reason": "", "place_and_room": "", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "<a href=\"https://belearn.swiss\">BeLEARN</a>", "contact": "<a href=\"mailto:[email protected]\">Franz Lam</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": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119951/", "category": { "id": 16, "code": "PROP", "fr_label": "Appel à proposition", "en_label": "Call for proposal", "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/323/?format=api", "https://memento.epfl.ch/api/v1/mementos/140/?format=api", "https://memento.epfl.ch/api/v1/mementos/85/?format=api", "https://memento.epfl.ch/api/v1/mementos/65/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api" ] }, { "id": 70204, "title": "Coding Club for Girls in Freiburg", "slug": "coding-club-for-girls-in-freiburg-4", "event_url": "https://memento.epfl.ch/event/coding-club-for-girls-in-freiburg-4", "visual_url": "https://memento.epfl.ch/image/31659/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/31659/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/31659/max-size.jpg", "lang": "en", "start_date": "2026-03-21", "end_date": "2026-05-09", "start_time": "09:30:00", "end_time": "16:00:00", "description": "<p>Eine App programmieren? Ein Computerspiel erfinden? Eine Animation gestalten?<br>\r\nWenn dich eines dieser Dinge interessiert, bist du hier am richtigen Ort! Tausche und teile deine Ideen, lerne zu programmieren und entdecke Informatikberufe. Die <a href=\"https://www.epfl.ch/education/education-and-science-outreach/de/jugendliche/coding-club/\">Coding Club for Girls</a> Workshops sind für Mädchen im Alter von 11 bis 15 Jahren.<br>\r\n<br>\r\nDie Workshops können individuell besucht werden und die Teilnahme ist kostenlos und werden auf Deutsch angeboten.<br>\r\n<br>\r\nAb der Teilnahme an drei Workshops pro Jahr in Freiburg wird eine Teilnahmebestätigung ausgehändigt. <br>\r\n<br>\r\n<strong>Ort:</strong> Cycle d'Orientation de Pérolles (CO)<strong>, </strong>Freiburg<br>\r\n<br>\r\n<strong>Datum und Zeit:</strong><br>\r\n<strong>21. März 2026 : 09:30 bis 12:00 oder 13:30 bis 16:00 Uhr // Hello 3D World<br>\r\n25. April 2026 </strong><strong>: 09:30 bis 12:00 oder 13:30 bis 16:00 Uhr // GameDesign<br>\r\n09. Mai 2026 : 09:30 bis 12:00 oder 13:30 bis 16:00 Uhr // Cyber Security</strong><br>\r\n<br>\r\nDie Inhalte der Workshops sind untenstehend beschrieben.<br>\r\n<br>\r\n<strong>Bedingungen</strong>\r\n</p><ul>\r\n\t<li>Gratis</li>\r\n\t<li><a href=\"https://forms.gle/WToRPnetETtxENog9\">Anmeldung unter diesem Link </a></li>\r\n\t<li><a href=\"https://www.epfl.ch/education/education-and-science-outreach/de/teilnahmebedingungen/\">Allgemeine Teilnahmebedingungen EPFL - SPS Aktivitäten</a> </li>\r\n</ul>\r\n<strong>Workshops:<br>\r\nHello 3D World - Samstag, 21. März 2026</strong><br>\r\nWie denkst du wurden die Figuren und Kulissen in den Filmen Shrek, Cars, Ice Age oder Kung Fu Panda gestaltet? Beim Entwerfen und Animieren von 3D-Objekten kannst Du wie im richtigen Animationsstudio gleichzeitig in die Rolle einer Künstlerin und einer Informatikerin schlüpfen. Du wirst dreidimensionale Objekte rund um das Thema Wald gestalten und in einem zweiten Schritt deiner Fantasie freien Lauf lassen und deine eigenen 3D-Objekte entwerfen!<br>\r\n<br>\r\n<strong>GameDesign - Samstag, 25. April 2026</strong><br>\r\nErlebe neue Abenteuer mit unserem Lieblingskater! Egal ob du Anfängerin oder bereits Scratch-Expertin bist, es warten neuen Aufgaben auf dich! <br>\r\n<br>\r\n<strong>Cyber Security - Samstag, 09. Mai 2026</strong><br>\r\nWie kann man sich vom weltweiten Netz schützen? Dir hat man bestimmt schon gesagt: kommuniziere nicht mit Unbekannten, gebe keine persönlichen Angaben an... Dank diesem Workshop wirst du verstehen, wie Internet funktionniert und wie man Gefahren vorhersehen kann. Du wirst Username- und Passwortgeneratoren programmieren.<br>\r\n ", "image_description": "", "creation_date": "2025-10-24T11:05:58", "last_modification_date": "2025-12-01T17:01:27", "link_label": "Anmeldung", "link_url": "https://forms.gle/WToRPnetETtxENog9", "canceled": "False", "cancel_reason": "", "place_and_room": "Cycle d'Orientation de Pérolles", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/3/?format=api" ], "speaker": "", "organizer": "<a href=\"https://www.epfl.ch/education/education-and-science-outreach/fr/index-fr-html/promotion-des-sciences/\">A</a><a href=\"https://www.epfl.ch/education/education-and-science-outreach/de/wissenschaftsfoerderung/\">bteilung für Wissenschaftsförderung (SPS) der EPFL</a> ", "contact": "<a href=\"mailto:[email protected]\">[email protected]</a>", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "Coding Club for Girls, Deutsch, SPS, Jugendliche, Freiburg, Fribourg,FR", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/118270/", "category": { "id": 18, "code": "YOUTHSCIENCE", "fr_label": "Activités scientifiques pour les jeunes", "en_label": "Sciences Activities for Youth", "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/170/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api" ] }, { "id": 66557, "title": "Student Welcome Day", "slug": "student-welcome-day-3", "event_url": "https://memento.epfl.ch/event/student-welcome-day-3", "visual_url": "https://memento.epfl.ch/image/28283/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/28283/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/28283/max-size.jpg", "lang": "en", "start_date": "2026-08-28", "end_date": "2026-08-28", "start_time": null, "end_time": null, "description": "<strong>Student Welcome Day 2025</strong><br>\r\nProgramme 2026 available soon<br>\r\n<br>\r\n<strong>General Information</strong><br>\r\n<a href=\"https://plan.epfl.ch/?room==STCC%207%208025\">Swiss Tech Convention Center - Auditorium C</a><br>\r\n14:00 Katrin Beyer, ENAC Faculty Dean<br>\r\n14:15 Sophie Delhay, Section Director<br>\r\n14:45 Diversity Office <br>\r\n<br>\r\n<br>\r\n<strong>Propedeutical Year Information (1st year)</strong><br>\r\n<a href=\"https://plan.epfl.ch/?room==STCC%207%208025\">Swiss Tech Convention Center - Auditorium C</a><br>\r\n15:00 ALICE y1 (Professor Dieter Dietz)<br>\r\n15:30 Introducing the team (Laurent Chassot)<br>\r\n15:45 Agepoly (Association générale des étudiant·es de l’EPFL)<br>\r\n16:00 ASAR (Association des étudiant·es de la Section d'Architecture) <br>\r\n16:15 Coaching and moving towards the studios<br>\r\n16:30 Meeting in the studios<br>\r\n<br>\r\n<br>\r\n<strong>Information Session for New Master Students,<br>\r\nExchange Students and Passerelle HES Students</strong><br>\r\n<a href=\"https://plan.epfl.ch/?room==RLC%20E1%20240\">Room SG 0 211</a><br>\r\n15:30 - 16:30 Laure Kochnitzky Palluel, Section Deputy<br>\r\n16:30 - 16:45 Agepoly (Association générale des étudiant·es de l’EPFL)", "image_description": "", "creation_date": "2024-08-22T16:05:56", "last_modification_date": "2026-02-11T11:50:09", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [], "speaker": "", "organizer": "Section d'architecture", "contact": "<a href=\"mailto:[email protected]\">[email protected]</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": "futur·es étudiant·es, nouveaux·elles étudiant·es", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/113078/", "category": { "id": 4, "code": "DIVERS", "fr_label": "Autres types d’événement", "en_label": "Miscellaneous", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/391/?format=api" ] }, { "id": 71388, "title": "EHL HumanX Summit 2026", "slug": "ehl-humanx-summit-2026-2", "event_url": "https://memento.epfl.ch/event/ehl-humanx-summit-2026-2", "visual_url": "https://memento.epfl.ch/image/32737/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32737/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32737/max-size.jpg", "lang": "en", "start_date": "2026-05-20", "end_date": "2026-05-20", "start_time": "08:00:00", "end_time": "17:00:00", "description": "<p>In a global investment landscape increasingly driven by technology, automation, and scale, EHL has chosen to anchor its Summit in what has always defined its community: the <strong>power of human experience.</strong><br>\r\n<br>\r\nThe <a href=\"https://innovationhub.ehl.edu/ehl-humanx-summit-2026-investors\"><strong>Investor Track</strong> </a>on Day 2 (May 20th) is designed as a curated gateway into Europe’s most promising human-centric innovation — ventures that use technology to elevate people, not replace them. These startups operate at the intersection of Hospitality and service industries, including food&beverages, travel and tourism, luxury and retail, education, nutrition and wellbeing and more. <br>\r\n<br>\r\nThe audience will be a diverse coalition of seed and Series A investors, including business angel networks, VCs, corporate VCs, family offices, and individual investors who believe that the future will be shaped by purpose-driven technology that enhances human potential.<br>\r\n<br>\r\n<a href=\"https://futurerherrarmdniygrd.eventify.io/widget2/sessions?redirection=false\">Full agenda available here</a></p>", "image_description": "", "creation_date": "2026-03-17T10:23:28", "last_modification_date": "2026-03-17T10:23:49", "link_label": "Website", "link_url": "https://innovationhub.ehl.edu/ehl-humanx-summit-2026-investors", "canceled": "False", "cancel_reason": "", "place_and_room": "EHL Campus, Lausanne", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "<a href=\"https://innovationhub.ehl.edu/about-us\">EHL Innovation Hub</a>", "contact": "<a href=\"mailto:[email protected]\">EHL Innovation Hub team</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": "Conference / Pitch; Network; call", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120098/", "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/422/?format=api" ] }, { "id": 71319, "title": "Uniform dimension results of level-sets of stable sheets", "slug": "uniform-dimension-results-of-level-sets-of-stabl-2", "event_url": "https://memento.epfl.ch/event/uniform-dimension-results-of-level-sets-of-stabl-2", "visual_url": "https://memento.epfl.ch/image/32674/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32674/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32674/max-size.jpg", "lang": "en", "start_date": "2026-04-21", "end_date": "2026-04-21", "start_time": "17:00:00", "end_time": null, "description": "<p>Thesis Director: Prof. T. Mountford,<br>\r\nMathematics doctoral program<br>\r\nThesis Nr. 11211<br>\r\n<br>\r\nTo take part in the public defense, please contact directly the speaker</p>", "image_description": "", "creation_date": "2026-03-06T13:07:23", "last_modification_date": "2026-03-06T13:07:23", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "CO 120", "url_place_and_room": "https://plan.epfl.ch/?room==CO%20120", "url_online_room": "", "spoken_languages": [], "speaker": "<a href=\"mailto:[email protected]\"><strong>Keming CHEN</strong></a>", "organizer": "", "contact": "<a href=\"mailto:[email protected]\"><strong>Keming CHEN</strong></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": "EDMA", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120002/", "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/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api" ] }, { "id": 71376, "title": "EPFL Latsis Symposium 2026: “Decoding the Cell: Modeling, Predicting, and Engineering Cellular States”", "slug": "epfl-latsis-symposium-2026-decoding-the-cell-model", "event_url": "https://memento.epfl.ch/event/epfl-latsis-symposium-2026-decoding-the-cell-model", "visual_url": "https://memento.epfl.ch/image/32724/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32724/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32724/max-size.jpg", "lang": "en", "start_date": "2026-10-29", "end_date": "2026-10-30", "start_time": null, "end_time": null, "description": "<p>The <strong>EPFL Latsis Symposium 2026<em>: “Decoding the Cell: Modeling, Predicting, and Engineering Cellular States”</em></strong> will be held on <strong>October 29-30, 2026</strong>, at the <strong>Olympic Museum in Lausanne</strong>.<br>\r\n<br>\r\nThis international gathering will bring together leading scientists in single-cell analysis, computational modeling, and cellular engineering to explore how recent breakthroughs in multi-omics technologies, predictive algorithms, and synthetic biology are reshaping our understanding of cellular function.<br>\r\n<br>\r\nThrough interdisciplinary talks and discussions, the symposium will spotlight advances in single-cell multi-modal data integration, predictive modeling of cell identity and behavior, and the engineering of synthetic cell states. By connecting researchers across experimental and computational domains, the event aims to establish new conceptual and technological frameworks for modeling and controlling cellular systems.<br>\r\n<br>\r\nHosted by <strong>EPFL</strong>, the symposium will foster scientific exchange, spark new collaborations, and accelerate progress toward next-generation cell-based therapies, disease models, and synthetic biological innovations.<br>\r\n<br>\r\nJoin us in Lausanne to connect with the global community shaping the future of cell understanding and engineering.<br>\r\n<br>\r\n<strong>SPEAKERS:</strong><br>\r\n• <strong>Gray Camp</strong> – Research Group Leader at the Roche Institute for Translational Bioengineering (ITB) in Basel<br>\r\n• <strong>Barbara Engelhardt</strong> – Senior Investigator, Gladstone Institutes & Professor, Department of Biomedical Data Science at Stanford University<br>\r\n• <strong>Jeremy Gunawardena</strong> – Professor, Department of Medicine and Life Sciences (MELIS), Pompeu Fabra University, Barcelona<br>\r\n• <strong>Muzlifah Haniffa</strong> – Head of the Cellular Genomics Programme and Deputy Director of the Wellcome Sanger Institute and Professor of Clinical Dermatology at the University of Cambridge<br>\r\n• <strong>Anshul Kundaje</strong> – Associate Professor of Genetics and Computer Science at Stanford University<br>\r\n• <strong>Prisca Liberali </strong>– Professor at the Department of Biosystems Science and Engineering, ETHZ & Senior Group Leader at the Friedrich Miescher Institute for Biomedical Research<br>\r\n• <strong>Ewa Paluch</strong> – Professor of Anatomy in the Department of Physiology, Development and Neuroscience and Fellow of Trinity College at the University of Cambridge<br>\r\n• <strong>Steve Quake</strong> – Professor of Bioengineering and Applied Physics, Stanford University<br>\r\n• <strong>Sussane Rafelski</strong> – Sr. Director, Quantitative Biology at the Allen Institute for Cell Science<br>\r\n• <strong>Kevin Tsia</strong> – Professor in the Department of Electrical and Electronic Engineering and the Program Director of the Biomedical Engineering Program at the University of Hong Kong<br>\r\n• <strong>Bo Wang</strong> – Chief AI Scientist, Vector Institute & Assistant Professor, University of Toronto<br>\r\n<br>\r\nGenerously supported by\r\n</p><div class=\"wp-block-image\"><img alt=\"\" decoding=\"async\" height=\"147\" sizes=\"(max-width: 343px) 100vw, 343px\" src=\"https://www.epfl.ch/labs/deplanckelab/wp-content/uploads/2025/11/Fondation-Latsis-logo.png\" srcset=\"https://www.epfl.ch/labs/deplanckelab/wp-content/uploads/2025/11/Fondation-Latsis-logo.png 343w, https://www.epfl.ch/labs/deplanckelab/wp-content/uploads/2025/11/Fondation-Latsis-logo-300x129.png 300w\" width=\"343\"></div>", "image_description": "In a galaxy not so far, far away… Jakob J. 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