retrieve:
Return the details about the given Memento id.

list:
List all Memento objects.

GET /api/v1/mementos/1/events/?format=api&offset=60&ordering=id
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

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            "id": 71846,
            "title": "Reprogramming Tumor-Infiltrating Exhausted CD8+ T Cells for Enhanced and Durable Antitumor Immunity",
            "slug": "reprogramming-tumor-infiltrating-exhausted-cd8-t-2",
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            "start_date": "2026-06-19",
            "end_date": "2026-06-19",
            "start_time": "16:00:00",
            "end_time": null,
            "description": "<p>Thesis Director: Prof. L. Tang,<br>\r\nMolecular Life Sciences doctoral program<br>\r\nThesis Nr. 10996<br>\r\n<br>\r\nTo take part in the public defense, please contact directly the speaker</p>",
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            "id": 70950,
            "title": "Theoretical Realisation of Quantum Phenomena In Computational Materials Discovery",
            "slug": "theoretical-realisation-of-quantum-phenomena-in--2",
            "event_url": "https://memento.epfl.ch/event/theoretical-realisation-of-quantum-phenomena-in--2",
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            "start_date": "2026-06-22",
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            "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/theoretical-realisation-of-quantum-phenomena-in-computational-materials-discovery-1485\">https://www.cecam.org/workshop-details/theoretical-realisation-of-quantum-phenomena-in-computational-materials-discovery-1485</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\nQuantum phenomena in materials underpin a range of emerging technologies, including spin-based quantum technologies, efficient energy transport materials and ultra-narrow bandwidth lasers.<sup>1,2,3</sup> Emergent behaviour such as quantum magnetism, superconductivity and superradiance<sup>4</sup> arise from the complex interplay between electronic and structural properties; electronic features including strong electron correlation, spin-orbit coupling and reduced dimensionality can lead to phenomena such as unconventional superconductivity and room-temperature spin coherences, whilst structural factors such as crystal symmetry, doping concentrations and Moiré twist patterns are pivotal in shaping these quantum characteristics.<sup>5,6</sup> Computational quantum materials discovery requires both highly advanced theoretical models of the electronic structure and high-throughput approaches for identifying stable crystal structures and predicting their properties.<sup>3,7</sup><br>\r\nStrongly correlated electrons, ubiquitous in quantum materials, challenge conventional density functional theory (DFT). Quantum embedding methods, such as Density Matrix Embedding Theory (DMET) and Quantum Defect Embedding Theory (QDET), are powerful tools for describing strongly correlated electronic states in materials. QDET solves an effective Hamiltonian for a strongly-correlated subset of DFT orbitals using full configuration interaction, parameterized via a Green's function approach.<sup>8</sup> DMET, however, maps the solid-state problem onto a self-consistent quantum impurity coupled to a mean-field bath, with the impurity solved by high-level methods.<sup>9</sup> The application of these advanced techniques is rapidly growing, from analysing superconducting cuprates to describing quantum spin defects in semiconductors.<sup>8,9</sup><br>\r\nModel Hamiltonians, such as the multi-band Hubbard model, are increasingly used to describe the low-energy physics of quantum materials.<sup>10</sup> While the constrained random phase approximation is the traditional choice for parametrising these models,<sup>11</sup> the newly developed moment-conserved RPA may offer superior accuracy by conserving instantaneous two-point correlation functions.<sup>12,13</sup> Powerful numerical techniques like Determinant Quantum Monte Carlo have recently been pioneered for solving the model Hamiltonian and predicting quantum phenomena such as pairing susceptibilities.<sup>14</sup><br>\r\nSuch theoretical methods are also essential for computational discovery of spin defects in semiconductors, a promising platform for room-temperature qubits.<sup>3,15</sup> Advanced theoretical treatments are essential to predict defect electronic, magnetic, and optical properties, incorporating effects like spin-orbit and spin-phonon coupling which determine spin coherence and optical manipulation characteristics. The current state-of-the-art combines DFT studies of semiconductor bulk properties with ab initio treatments of the defect; quantum embedding methods are emerging as a promising alternative.<sup>16,17</sup><br>\r\nGiven the immense diversity of materials, high-throughput screening is a cornerstone of modern materials discovery. DFT, particularly with state-of-the-art approximations like r2SCAN+rVV10, remains the workhorse for reliably determining material structures; such calculations often offer critical insight into both a systems stability and electronic structure.<sup>7,18,19,20</sup> Machine learning (ML) is transforming materials discovery by slashing the computational cost of such calculations, allowing a wider exploration of composition space.<sup>21,22</sup><br>\r\nComputational quantum materials modelling is advancing rapidly, however reconciling methods treating strongly correlated electrons with computational workflows employed in modern materials discovery remains relatively unexploited. The synergy of advanced theory, high-performance computing and ML has the potential to drive breakthroughs in quantum materials discovery and accelerate development of emerging technologies, from novel qubit platforms to room-temperature superconductors.<br>\r\n<br>\r\n<strong>References</strong><br>\r\n<br>\r\n<a href=\"https://doi.org/10.1103/physrevlett.132.076401\" target=\"_blank\">[1] C. Scott, G. Booth, Phys. Rev. Lett., <strong>132</strong>, 076401 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41524-025-01554-0\" target=\"_blank\">[2] X. Jiang, W. Wang, S. Tian, H. Wang, T. Lookman, Y. Su, npj. Comput. Mater., <strong>11</strong>, 79 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.triboint.2024.110438\" target=\"_blank\">[3] S. Giaremis, M. Righi, Tribology International, <strong>204</strong>, 110438 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41524-024-01437-w\" target=\"_blank\">[4] Z. Zhu, J. Park, H. Sahasrabuddhe, A. Ganose, R. Chang, J. Lawson, A. Jain, npj. Comput. Mater., <strong>10</strong>, 258 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1002/jcc.26353\" target=\"_blank\">[5] R. Nelson, C. Ertural, J. George, V. Deringer, G. Hautier, R. Dronskowski, J. Comput. Chem., <strong>41</strong>, 1931-1940 (2020)</a><br>\r\n<a href=\"https://doi.org/10.1021/acsmaterialsau.2c00059\" target=\"_blank\">[6] M. Kothakonda, A. Kaplan, E. Isaacs, C. Bartel, J. Furness, J. Ning, C. Wolverton, J. Perdew, J. Sun, ACS Mater. Au, <strong>3</strong>, 102-111 (2022)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41524-025-01547-z\" target=\"_blank\">[7] V. Briganti, A. Lunghi, npj. Comput. Mater., <strong>11</strong>, 62 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1021/acs.jpclett.5c00355\" target=\"_blank\">[8] A. Kundu, F. Martinelli, G. Galli, J. Phys. Chem. Lett., <strong>16</strong>, 1973-1979 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1557/s43577-023-00659-5\" target=\"_blank\">[9] A. Gali, A. Schleife, A. Heinrich, A. Laucht, B. Schuler, C. Chakraborty, C. Anderson, C. Déprez, J. McCallum, L. Bassett, M. Friesen, M. Flatté, P. Maurer, S. Coppersmith, T. Zhong, V. Begum-Hudde, Y. Ping, MRS Bulletin, <strong>49</strong>, 256-276 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1073/pnas.2408717121\" target=\"_blank\">[10] P. Mai, B. Cohen-Stead, T. Maier, S. Johnston, Proc. Natl. Acad. Sci. U.S.A., <strong>121</strong>, (2024)</a><br>\r\n<a href=\"https://doi.org/10.1103/physrevb.108.064511\" target=\"_blank\">[11] C. Pellegrini, C. Kukkonen, A. Sanna, Phys. Rev. B, <strong>108</strong>, 064511 (2023)</a><br>\r\n<a href=\"https://doi.org/10.1186/s40712-024-00202-7\" target=\"_blank\">[12] R. Goyal, S. Maharaj, P. Kumar, M. Chandrasekhar, J Mater. Sci: Mater Eng., <strong>20</strong>, 4 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41524-024-01314-6\" target=\"_blank\">[13] Y. Chang, E. van Loon, B. Eskridge, B. Busemeyer, M. Morales, C. Dreyer, A. Millis, S. Zhang, T. Wehling, L. Wagner, M. Rösner, npj. Comput. Mater., <strong>10</strong>, 129 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1103/physrevx.15.021049\" target=\"_blank\">[14] H. Padma, J. Thomas, S. TenHuisen, W. He, Z. Guan, J. Li, B. Lee, Y. Wang, S. Lee, Z. Mao, H. Jang, V. Bisogni, J. Pelliciari, M. Dean, S. Johnston, M. Mitrano, Phys. Rev. X, <strong>15</strong>, 021049 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41467-025-56883-x\" target=\"_blank\">[15] Z. Cui, J. Yang, J. Tölle, H. Ye, S. Yuan, H. Zhai, G. Park, R. Kim, X. Zhang, L. Lin, T. Berkelbach, G. Chan, Nat. Commun., <strong>16</strong>, 1845 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1021/acs.jpclett.5c00287\" target=\"_blank\">[16] L. Otis, Y. Jin, V. Yu, S. Chen, L. Gagliardi, G. Galli, J. Phys. Chem. Lett., <strong>16</strong>, 3092-3099 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1039/d5dd00019j\" target=\"_blank\">[17] A. Ganose, H. Sahasrabuddhe, M. Asta, K. Beck, T. Biswas, A. Bonkowski, J. Bustamante, X. Chen, Y. Chiang, D. Chrzan, J. Clary, O. Cohen, C. Ertural, M. Gallant, J. George, S. Gerits, R. Goodall, R. Guha, G. Hautier, M. Horton, T. Inizan, A. Kaplan, R. Kingsbury, M. Kuner, B. Li, X. Linn, M. McDermott, R. Mohanakrishnan, A. Naik, J. Neaton, S. Parmar, K. Persson, G. Petretto, T. Purcell, F. Ricci, B. Rich, J. Riebesell, G. Rignanese, A. Rosen, M. Scheffler, J. Schmidt, J. Shen, A. Sobolev, R. Sundararaman, C. Tezak, V. Trinquet, J. Varley, D. Vigil-Fowler, D. Wang, D. Waroquiers, M. Wen, H. Yang, H. Zheng, J. Zheng, Z. Zhu, A. Jain, Digital Discovery, (2025)</a><br>\r\n<a href=\"https://doi.org/10.1002/adma.202106909\" target=\"_blank\">[18] W. Ko, Z. Gai, A. Puretzky, L. Liang, T. Berlijn, J. Hachtel, K. Xiao, P. Ganesh, M. Yoon, A. Li, Advanced Materials, <strong>35</strong>, (2022)</a><br>\r\n<a href=\"https://doi.org/10.1126/science.adg0014\" target=\"_blank\">[19] L. Du, M. Molas, Z. Huang, G. Zhang, F. Wang, Z. Sun, Science, <strong>379</strong>, (2023)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41586-023-07001-8\" target=\"_blank\">[20] C. Zhu, S. Boehme, L. Feld, A. Moskalenko, D. Dirin, R. Mahrt, T. Stöferle, M. Bodnarchuk, A. Efros, P. Sercel, M. Kovalenko, G. Rainò, Nature, <strong>626</strong>, 535-541 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1515/nanoph-2022-0723\" target=\"_blank\">[21] Á. Gali, Nanophotonics, <strong>12</strong>, 359-397 (2023)</a><br>\r\n<a href=\"https://doi.org/10.3389/fmats.2024.1343005\" target=\"_blank\">[22] V. Harris, P. Andalib, Front. Mater., <strong>11</strong>, (2024)</a></p>",
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            "description": "<div class=\"all_text\"><strong>Publishing to make your research available to the scientific community is a rewarding step. Do you want to understand how it works and know some tips that will help at the submission stage?</strong><br>\r\n<br>\r\nIn this workshop we will address the publication process in the current context:</div>\r\n\r\n<ul>\r\n\t<li>Become familiar with the context of scholarly communication and its latest developments.</li>\r\n\t<li>Understand the important steps leading to publication, including peer-review.</li>\r\n\t<li>Ensure your compliance towards EPFL and funders' Open Access policy.</li>\r\n\t<li>Know and protect your rights as an author according to EPFL’s policy.</li>\r\n\t<li>Get to understand what a publishing contract entails.</li>\r\n</ul>\r\n\r\n<div class=\"all_text\"><br>\r\n<a href=\"https://bookwhen.com/epfl_library/e/ev-s9xfp-20260317100000\">Registration</a><br>\r\n<br>\r\nMore information about <a href=\"https://www.epfl.ch/campus/library/training/\">EPFL Library Teaching offer</a></div>",
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            "description": "<p>Many plasticity rules rely on adjusting the strength of synapses between pairs of cells based on their coincident activity. We uncovered a new mechanism for coincidence detection in the Drosophila head direction network. To maintain an accurate sense of direction, head direction neurons that signal orientation during navigation must learn to anchor to relevant external sensory cues in novel environments. Yet the synaptic mechanism for this form of unsupervised learning is unknown in any organism. In Drosophila, GABAergic visual inputs converge onto head direction neurons, and these inhibitory synapses change strength with experience to learn the relationship between visual landmarks and head direction. However, how coincident pre- and postsynaptic activity is detected across this inhibitory synapse is not understood. We discovered that neurons which release the monoamine octopamine close a feedback loop that conveys postsynaptic head direction activity onto presynaptic terminals of visual inputs. This octopamine pathway is required for anchoring the head direction network to visual cues. Furthermore, pairing structured activation of octopamine neurons with a visual cue is sufficient to drive rapid plasticity, even without postsynaptic head direction cell activity. Previous work has extensively characterized coincidence detection mechanisms at excitatory synapses; our work defines a novel mechanism for coincidence detection at an inhibitory synapse, in which postsynaptic activity is relayed via a neuromodulatory neuron onto presynaptic terminals.<br>\r\n </p>",
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        {
            "id": 71880,
            "title": "Imaging Seminar: Mapping cellular function with 3D single-molecule tracking and super-resolution microscopy",
            "slug": "imaging-seminar-mapping-cellular-function-with-3-2",
            "event_url": "https://memento.epfl.ch/event/imaging-seminar-mapping-cellular-function-with-3-2",
            "visual_url": "https://memento.epfl.ch/image/33202/200x112.jpg",
            "visual_large_url": "https://memento.epfl.ch/image/33202/720x405.jpg",
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            "lang": "en",
            "start_date": "2026-06-25",
            "end_date": "2026-06-25",
            "start_time": "17:00:00",
            "end_time": "18:00:00",
            "description": "<strong><a href=\"https://docs.google.com/forms/d/e/1FAIpQLSepcadZ0LZTP-BpVwOnH2ljz6z4CtAFbXxIkfEL0Mpio-vrqQ/viewform?usp=header\">Registration</a><br>\r\n<br>\r\nAbstract</strong>: Cellular function is governed by the molecular organization and interactions at the nanoscale. In this talk, I will present our recent advances in 3D single-molecule tracking of dynamics and super-resolution imaging of nanoscale structures throughout mammalian cells, and showcase applications of our approaches for cellular imaging. I will describe our developments of light sheet microscopy platforms that reduce fluorescence background, photobleaching, and the risk of photodamaging sensitive samples. Combined with point spread function (PSF) engineering for nanoscale localization of individual molecules in 3D, deep learning for analysis of overlapping emitters, and a novel 3D nanoprinted microfluidic chip for environmental control, these platforms enable whole-cell multi-target 3D single-molecule super-resolution imaging with improved accuracy, precision, and imaging speed. I will also highlight our recent developments and applications of dCas9-based labels that enable flexible, long-term tracking of endogenous, non-repetitive genomic loci in live human cells with excellent spatiotemporal resolution. Using this approach, we demonstrate correlative tracking of gene dynamics and transcription for improved understanding of gene regulation. I will further showcase studies of disease mechanisms and novel therapies for the premature aging disorder Hutchinson-Gilford Progeria Syndrome. Together, these imaging technologies provide a versatile toolkit for quantitative studies of molecular dynamics, nanoscale structures, and molecular mechanisms, enabling new insights into a broad range of chemical, biological, and biomedical questions related to cellular function and pathogenesis.<br>\r\n<br>\r\n<strong>Bio: </strong>Dr. Gustavsson joined the faculty at Rice University in 2020 as a CPRIT Scholar in Cancer Research and the Norman Hackerman-Welch Young Investigator Chair. At Rice, she founded and serves as Director of the Center for Nanoscale Imaging Sciences. Her research group strives to gain detailed information about cellular nanoscale structures, dynamics, and molecular mechanisms by designing and applying innovative and versatile optical imaging tools. Dr. Gustavsson received her Ph.D. in Physics from the University of Gothenburg, Sweden. Her graduate work focused on studying rhythms and dynamic responses in single cells by combining and optimizing techniques such as fluorescence microscopy, optical tweezers, and microfluidics. Upon completion of her graduate work, Dr. Gustavsson joined the group of Nobel Laureate W. E. Moerner at Stanford University as a Postdoctoral Fellow. Her research focused on the development and application of 3D single-molecule super-resolution microscopy for cellular imaging and included the implementation of light sheet illumination for optical sectioning of mammalian cells. Her work has been recognized with multiple honors, awards, and fellowships, most notably the FEBS Journal Richard Perham Prize, the 3-year Swedish Research Council International Postdoctoral Fellowship, the PicoQuant Young Investigator Award, the NIH K99/R00 Pathway to Independence Award, the CPRIT Recruitment of First-Time Tenure-Track Faculty Members Award, the Scialog: Advancing Bioimaging Fellowship, the Edward S. and Fofo Lewis Chemistry Research Award, the NIH Maximizing Investigators' Research Award (MIRA), and the NSF CAREER Award.<br>\r\n<br>\r\n<strong>The seminar is followed by an aperitif. </strong>",
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            "speaker": "Anna-Karin Gustavsson",
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            "contact": "<a href=\"https://people.epfl.ch/cecilia.carron\">Cecilia Carron</a>",
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        {
            "id": 71906,
            "title": "Workshop for Postdocs on the Creative Scientific Process",
            "slug": "workshop-for-postdocs-on-the-creative-scientific-p",
            "event_url": "https://memento.epfl.ch/event/workshop-for-postdocs-on-the-creative-scientific-p",
            "visual_url": "https://memento.epfl.ch/image/33223/200x112.jpg",
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            "start_date": "2026-06-25",
            "end_date": "2026-06-25",
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            "description": "<p>Are you finding it difficult to come up with a truly innovative idea for your next grant application? Do you ever feel stuck in an experiment, in familiar ways of thinking, even when you <em>know</em> there must be new angles to explore?<br>\r\n<br>\r\nScience progress moves between two complementary modes: <em>Day Science</em>, the rigorous testing of ideas, and <em>Night Science</em>, the creative process where those ideas first emerge. Indeed, what we call the scientific method tells us what to do once we have a hypothesis – but where do these hypotheses come from in the first place? François Jacob famously called this part the realm of ‘<em>Night Science’</em>.<br>\r\n<br>\r\nDrawing on the <a href=\"https://night-science.org/home/learn/\">Night Science training framework</a> developed by Profs Itai Yanai and Martin Lercher, this workshop will introduce thinking tools and exercises to help you foster exploratory thinking, interdisciplinarity and a general attitude of openness towards new ideas applied to your own research challenges. This course is provided by a certified Night Science trainer from the <a href=\"https://www.epfl.ch/research/services/units/research-office/\" target=\"_blank\">EPFL Research Office</a>. <br>\r\n<br>\r\n<strong>This interactive workshop is designed specifically for postdoctoral researchers who want to:</strong>\r\n</p><ul>\r\n\t<li>Generate novel, high-risk/high-reward ideas for grants and publications</li>\r\n\t<li>Overcome conceptual or experimental roadblocks</li>\r\n\t<li>Expand their thinking beyond conventional frameworks</li>\r\n\t<li>Reconnect with the creative side of the scientific process</li>\r\n</ul>\r\n<strong><em>When and Where</em></strong><strong>:</strong> June 25, 2026, 08:30-14:00. On-site only, room <a href=\"https://plan.epfl.ch/?dim_floor=0&amp;lang=en&amp;dim_lang=en&amp;tree_groups=centres_nevralgiques_grp%2Cmobilite_acces_grp%2Crestauration_et_commerces_grp%2Censeignement%2Cservices_campus_grp%2Cequipements_grp&amp;tree_group_layers_centres_nevralgiques_grp=&amp;tree_group_layers_mobilite_acces_grp=metro&amp;tree_group_layers_restauration_et_commerces_grp=&amp;tree_group_layers_enseignement=guichet_etudiants&amp;tree_group_layers_services_campus_grp=information_epfl&amp;tree_group_layers_equipements_grp=&amp;baselayer_ref=grp_backgrounds&amp;map_x=2533099&amp;map_y=1152409&amp;map_zoom=14\">MED0 1618</a> (Lausanne campus). Lunch provided.<br>\r\n<br>\r\n<strong><em>Programme:</em></strong>\r\n\r\n<ul>\r\n\t<li><strong>08:30-08:45 : </strong>Breakfast + Welcome coffee </li>\r\n\t<li><strong>08:45-10:15 : </strong>Session 1: Night science, openness, improvisation, takes two to think + Exercise</li>\r\n\t<li><strong>10:15-10:30</strong> :Coffee break</li>\r\n\t<li><strong>10:30-12:00</strong> : Session 2: Import/export, 2 languages + Exercise</li>\r\n\t<li><strong>12:00-12:30</strong> : Lunch</li>\r\n\t<li><strong>12:30-13:30</strong> : Session 3: Hypothesis is a liability, what’s the question + Exercise</li>\r\n\t<li><strong>13:30-14:00</strong> : Wrap-up Discussion </li>\r\n</ul>\r\n<br>\r\n<strong><em>Registration</em></strong><strong>:</strong> Participation limited to <strong>30 attendees</strong>, on a first-come first-served basis. Register early to secure your spot <a href=\"https://forms.office.com/Pages/ResponsePage.aspx?id=alXC9vvEsUqix54iDfEcQzE88_YGNxJDjy6KyYIGmdJURE5VSVdLN1YxTFVJQVAxVFoxREJQR0YyNCQlQCN0PWcu\">here</a>. A waiting list will be organised.<br>\r\n<br>\r\n<u>Registration will close on June 18<sup>th</sup> after which attendance will be confirmed by email</u>.<br>\r\n <br>\r\nAny questions? Contact the Research Office at <a href=\"mailto:[email protected]\">[email protected]</a>.",
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        },
        {
            "id": 71920,
            "title": "Engineering dynamic behaviors in computationally designed proteins",
            "slug": "engineering-dynamic-behaviors-in-computationally-2",
            "event_url": "https://memento.epfl.ch/event/engineering-dynamic-behaviors-in-computationally-2",
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            "description": "<p>Thesis Director: Prof. B. E. Ferreira De Sousa Correia,<br>\r\nChemistry and Chemical Engineering doctoral program<br>\r\nThesis Nr. 11408<br>\r\n<br>\r\nTo take part in the public defense, please contact directly the speaker</p>",
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                "id": 12,
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        },
        {
            "id": 70951,
            "title": "Toward Intelligent Behavior in Macroscopic Active Matter",
            "slug": "toward-intelligent-behavior-in-macroscopic-active",
            "event_url": "https://memento.epfl.ch/event/toward-intelligent-behavior-in-macroscopic-active",
            "visual_url": "https://memento.epfl.ch/image/32339/200x112.jpg",
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            "lang": "en",
            "start_date": "2026-07-06",
            "end_date": "2026-07-10",
            "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/toward-intelligent-behavior-in-macroscopic-active-matter-1481\">https://www.cecam.org/workshop-details/toward-intelligent-behavior-in-macroscopic-active-matter-1481</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\nActive matter has emerged as a central framework for understanding systems composed of self-driven units across scales, ranging from molecular motors and cytoskeletal filaments to animal groups and robotic swarms. Initially, many foundational models focused on macroscopic agents – such as flocks, swarms, and driven granular particles – where simple interaction rules give rise to rich collective phenomena. However, over the past two decades, much of the focus has shifted toward microscopic and mesoscopic active systems, especially in soft and biological matter, supported by the technological development of high-resolution imaging, force measurement, and microfabrication. These advances have driven a more refined theoretical understanding, connecting microscopic dynamics with hydrodynamic and continuum-scale descriptions, and have found applications in biophysics, material science, and cellular biology. <br>\r\nIn parallel, yet often semi-independently, active matter concepts have flourished in ecological and robotic systems. In these domains, the agents – be they insects, birds, autonomous vehicles, or soft robots – not only self-propel and interact, but also sense their environments, make decisions, and adapt their behavior. These systems extend the classical framework of active matter by incorporating elements of intelligence, information processing, and environmental feedback. Notably, such systems can operate far from equilibrium and exhibit coordinated behavior that seems tuned for functional outcomes – navigation, foraging, or collective decision-making.<br>\r\nThese trends point toward a convergence: macroscopic active matter systems capable of intelligent, adaptive, or programmable behavior. This includes both natural systems (e.g., flocking insects, social insects, animal herds) and artificial systems (e.g., modular robots, programmable matter, active granular agents). The interplay of self-propulsion, interaction rules, information exchange, learning or memory, and system-level feedback opens exciting new directions for both fundamental science and applications. Recent efforts in this space combine techniques from statistical physics, nonlinear dynamics, robotics, and machine learning.<br>\r\nHowever, the communities working on these different aspects of active matter – soft matter physicists, ecologists, roboticists, and complexity scientists – remain fragmented, with limited opportunity for sustained dialogue. Bridging these communities is essential to develop a shared language, identify unifying principles, and guide the development of new experimental platforms and theoretical frameworks.<br>\r\n<br>\r\n<strong>References</strong><br>\r\n<br>\r\n<a href=\"https://doi.org/10.1038/s41586-024-08514-6\" target=\"_blank\">[1] F. Gu, B. Guiselin, N. Bain, I. Zuriguel, D. Bartolo, Nature, <strong>638</strong>, 112-119 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1126/scirobotics.aav7874\" target=\"_blank\">[2] A. Rafsanjani, K. Bertoldi, A. Studart, Sci. Robot., <strong>4</strong>, (2019)</a><br>\r\n<a href=\"https://doi.org/10.34133/cbsystems.0301\" target=\"_blank\">[3] J. Tirado, A. Parvaresh, B. Seyidoğlu, D. Bedford, J. Jørgensen, A. Rafsanjani, Cyborg. Bionic. Syst., <strong>6</strong>, (2025)</a><br>\r\n<a href=\"https://doi.org/10.1038/s42254-021-00406-2\" target=\"_blank\">[4] J. O’Byrne, Y. Kafri, J. Tailleur, F. van Wijland, Nat. Rev. Phys., <strong>4</strong>, 167-183 (2022)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41567-022-01704-x\" target=\"_blank\">[5] P. Baconnier, D. Shohat, C. López, C. Coulais, V. Démery, G. Düring, O. Dauchot, Nat. Phys., <strong>18</strong>, 1234-1239 (2022)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41567-023-02028-0\" target=\"_blank\">[6] A. Cavagna, L. Di Carlo, I. Giardina, T. Grigera, S. Melillo, L. Parisi, G. Pisegna, M. Scandolo, Nat. Phys., <strong>19</strong>, 1043-1049 (2023)</a><br>\r\n<a href=\"https://doi.org/10.1155/2013/987549\" target=\"_blank\">[7] M. Bischof, E. Del Giudice, Molecular Biology International, <strong>2013</strong>, 1-19 (2013)</a><br>\r\n<a href=\"https://doi.org/10.1098/rstb.2019.0377\" target=\"_blank\">[8] A. Deutsch, P. Friedl, L. Preziosi, G. Theraulaz, Phil. Trans. R. Soc. B, <strong>375</strong>, 20190377 (2020)</a><br>\r\n<a href=\"https://doi.org/10.1038/ncomms5688\" target=\"_blank\">[9] N. Kumar, H. Soni, S. Ramaswamy, A. Sood, Nat. Commun., <strong>5</strong>, 4688 (2014)</a><br>\r\n<a href=\"https://doi.org/10.1111/j.1756-8765.2009.01028.x\" target=\"_blank\">[10] M. Moussaid, S. Garnier, G. Theraulaz, D. Helbing, Topics in Cognitive Science, <strong>1</strong>, 469-497 (2009)</a><br>\r\n<a href=\"https://doi.org/10.1103/physrevx.15.021050\" target=\"_blank\">[11] R. Bebon, J. Robinson, T. Speck, Phys. Rev. X, <strong>15</strong>, 021050 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1126/scirobotics.abo6140\" target=\"_blank\">[12] M. Ben Zion, J. Fersula, N. Bredeche, O. Dauchot, Sci. Robot., <strong>8</strong>, (2023)</a><br>\r\n<a href=\"https://doi.org/10.1103/physreve.110.014606\" target=\"_blank\">[13] J. Fersula, N. Bredeche, O. Dauchot, Phys. Rev. E, <strong>110</strong>, 014606 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1038/s42005-024-01540-w\" target=\"_blank\">[14] L. Caprini, A. Ldov, R. Gupta, H. Ellenberg, R. Wittmann, H. Löwen, C. Scholz, Commun. Phys., <strong>7</strong>, 52 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1098/rspb.2021.0275\" target=\"_blank\">[15] T. Lengronne, D. Mlynski, S. Patalano, R. James, L. Keller, S. Sumner, Proc. R. Soc. B., <strong>288</strong>, rspb.2021.0275 (2021)</a><br>\r\n<a href=\"https://doi.org/10.1103/physrevlett.75.1226\" target=\"_blank\">[16] T. Vicsek, A. Czirók, E. Ben-Jacob, I. Cohen, O. Shochet, Phys. Rev. Lett., <strong>75</strong>, 1226-1229 (1995)</a><br>\r\n<a href=\"https://doi.org/10.1360/nso/20240005\" target=\"_blank\">[17] L. Ning, H. Zhu, J. Yang, Q. Zhang, P. Liu, R. Ni, N. Zheng, NSO., <strong>3</strong>, 20240005 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1088/1361-648x/adebd3\" target=\"_blank\">[18] G. Volpe, N. Araújo, M. Guix, M. Miodownik, N. Martin, L. Alvarez, J. Simmchen, R. Leonardo, N. Pellicciotta, Q. Martinet, J. Palacci, W. Ng, D. Saxena, R. Sapienza, S. Nadine, J. Mano, R. Mahdavi, C. Beck Adiels, J. Forth, C. Santangelo, S. Palagi, J. Seok, V. Webster-Wood, S. Wang, L. Yao, A. Aghakhani, T. Barois, H. Kellay, C. Coulais, M. van Hecke, C. Pierce, T. Wang, B. Chong, D. Goldman, A. Reina, V. Trianni, G. Volpe, R. Beckett, S. Nair, R. Armstrong, J. Phys.: Condens. Matter, <strong>37</strong>, 333501 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1088/1361-648x/ab6348\" target=\"_blank\">[19] G. Gompper, R. Winkler, T. Speck, A. Solon, C. Nardini, F. Peruani, H. Löwen, R. Golestanian, U. Kaupp, L. Alvarez, T. Kiørboe, E. Lauga, W. Poon, A. DeSimone, S. Muiños-Landin, A. Fischer, N. Söker, F. Cichos, R. Kapral, P. Gaspard, M. Ripoll, F. Sagues, A. Doostmohammadi, J. Yeomans, I. Aranson, C. Bechinger, H. Stark, C. Hemelrijk, F. Nedelec, T. Sarkar, T. Aryaksama, M. Lacroix, G. Duclos, V. Yashunsky, P. Silberzan, M. Arroyo, S. Kale, J. Phys.: Condens. Matter, <strong>32</strong>, 193001 (2020)</a><br>\r\n<a href=\"https://doi.org/10.1038/529016a\" target=\"_blank\">[20] G. Popkin, Nature, <strong>529</strong>, 16-18 (2016)</a></p>",
            "image_description": "",
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        {
            "id": 71836,
            "title": "Nanoscale analysis of membrane proteins in native milieu",
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            "description": "<strong>Abstract: </strong>In this seminar, Moitrayee Bhattacharyya will present her lab’s work on developing experimental platforms to resolve the molecular and functional organization of membrane proteins in their native environments and applying these tools to study membrane proteins that regulate neuronal signaling and neurodegeneration, chronic pain, and cancer. High-resolution quantitative measurements of the oligomeric organization of membrane proteins in native membranes, and how they change under different conditions, are indispensable for understanding membrane protein biology. Her lab reported a single-molecule technique, Native-nanoBleach, to determine the oligomeric distribution of membrane proteins from native membranes at ~10 nm spatial resolution and at endogenous levels of expression. They applied Native-nanoBleach to quantify the oligomerization status of structurally and functionally diverse membrane proteins. Her team has now extended this general technique to organellar membrane proteins and membrane contact sites in the context of neurodegeneration and rare developmental diseases. This general experimental pipeline will usher in a new era of studying membrane protein organization in their native membrane environments under various physiological and clinical conditions.<br>\r\n \r\n<div><strong>Bio</strong>: Moitrayee Bhattacharyya received her Ph.D. in Computational Biophysics at the Indian Institute of Science, Bangalore, where she used molecular dynamics simulations and network theory to study allosteric communication in protein complexes. She transitioned into experimental biology during her postdoctoral studies at the University of California, Berkeley, as a Human Frontiers Science Program Long Term Fellow. Here, she used structural biology and single-molecule microscopy to study the molecular mechanism of regulation in a calcium/calmodulin-dependent protein kinase that is critical for learning and memory. She started her lab at Yale University in the summer of 2020. One focus is to develop broad-impact technological platforms that enable high-resolution studies of membrane proteins in native membranes, in her lab and beyond. Her lab also applies these technologies in conjunction with established biophysical and structural methods to understand the molecular mechanisms of membrane-localized signaling in chronic pain and neurodegenerative diseases.</div>",
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            "link_url": "https://medicine.yale.edu/profile/moitrayee-bhattacharyya/",
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            "speaker": "Moitrayee Bhattacharyya, Ph.D. Assistant Professor, Department of Pharmacology, Yale University School of Medicine  ",
            "organizer": "Institute of Bioengineering, EPFL",
            "contact": "Prof. Florian Schueder",
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        {
            "id": 69528,
            "title": "Promenade des Pourquoi ?",
            "slug": "promenade-des-pourquoi-12",
            "event_url": "https://memento.epfl.ch/event/promenade-des-pourquoi-12",
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            "lang": "en",
            "start_date": "2026-07-22",
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            "description": "<p>Le Savambulant se pose mille et une questions lors de ses promenades en solitaire sur le site fascinant et en constante évolution de l’EPFL. Le mercredi 22 juillet, il vous emmène pour une balade de 2h sur le campus. <br>\r\n<br>\r\nAu travers d’expériences captivantes, il partage ses connaissances et ses dernières découvertes avec les jeunes exploratrices et explorateurs venus·es se questionner, expérimenter et tenter de répondre à toutes sortes de questions commençant par POURQUOI comme de véritables scientifiques.<br>\r\n<br>\r\n<u>Pour qui ?</u><br>\r\n<br>\r\nOuvert à toute personne intéressée qui n'a pas encore suivi la promenade des Pourquoi (qui est différente de celles des Comment).<br>\r\nAdapté pour les familles avec enfants de 6-10 ans.<br>\r\n<br>\r\n<u>Aspects pratiques</u><br>\r\n<br>\r\nLa promenade durera environ 2h, dont 1h de marche effective.<br>\r\nLes enfants sont sous la responsabilité de leurs parents ou d’un adulte accompagnant durant toute la promenade.<br>\r\nGratuit, pas d'inscription préalable.<br>\r\n<br>\r\n<strong>La promenade a lieu par tous les temps. Aucune inscription requise.</strong><br>\r\n<br>\r\n<strong>Départ</strong> : 10h30 arrêt m1 « EPFL » dans le passage sous voie<br>\r\n<strong>Arrivée</strong> : vers 12h30 sous les arches du Rolex Learning Center - EPFL<br>\r\n<br>\r\n<a href=\"https://jexploremaville.ch/events/\">Programme de J'explore ma ville</a></p>",
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            "contact": "<a href=\"mailto:[email protected]?subject=Balade%20scientifique%20sur%20le%20campus%20de%20l%27EPFL\">Olivier Renault</a>, le savambulant de l'EPFL et Floriane Nikles, Les promenades de Floriane - <a href=\"https://lespromenadesdefloriane.ch/explore-ma-ville/\">J'explore ma ville</a>",
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