retrieve:
Return the details about the given Event id.

list:
List all Event objects.

GET /api/v1/events/?format=api&offset=180&ordering=event__speaker
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

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            "id": 71879,
            "title": "Mathematics Colloquium",
            "slug": "mathematics-colloquium-15",
            "event_url": "https://memento.epfl.ch/event/mathematics-colloquium-15",
            "visual_url": "https://memento.epfl.ch/image/33203/200x112.jpg",
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            "lang": "en",
            "start_date": "2026-06-09",
            "end_date": "2026-06-09",
            "start_time": "16:15:00",
            "end_time": "17:15:00",
            "description": "<strong>Title : </strong>On indefinite ternary quadratic forms<br>\r\n<br>\r\n<strong>Abstract : </strong><br>\r\nWe describe the solution to two problems concerning indefinite integral ternary quadratic forms.<br>\r\nThe first about anisotropic forms was popularized by Margulis following his solution of the Oppenheim Conjecture.<br>\r\nThe second about the density of isotropic forms was raised by Serre.<br>\r\nJoint work with A.Gamburd, A.Ghosh and J.Whang.<br>\r\n<br>\r\n<strong>Please register on the following form : </strong>https://forms.gle/w8PbDFZtRSs5V47Y8<br>\r\n ",
            "image_description": "",
            "creation_date": "2026-05-13T13:52:46",
            "last_modification_date": "2026-05-20T10:23:16",
            "link_label": "",
            "link_url": "",
            "canceled": "False",
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            "place_and_room": "ELD 020",
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            "speaker": "Prof. Peter Sarnak (Institute of Advanced Study and Princeton University)",
            "organizer": "Institute of Mathematics",
            "contact": "Prof. Philippe Michel",
            "is_internal": "True",
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            "file": null,
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        {
            "id": 71936,
            "title": "Understanding and Predicting the Membrane Permeability of Macrocyclic Peptides Based on Large-Scale Data",
            "slug": "understanding-and-predicting-the-membrane-permeabi",
            "event_url": "https://memento.epfl.ch/event/understanding-and-predicting-the-membrane-permeabi",
            "visual_url": "https://memento.epfl.ch/image/33247/200x112.jpg",
            "visual_large_url": "https://memento.epfl.ch/image/33247/720x405.jpg",
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            "lang": "en",
            "start_date": "2026-09-15",
            "end_date": "2026-09-15",
            "start_time": "16:15:00",
            "end_time": "17:15:00",
            "description": "<p>Macrocyclic peptides are promising molecules for targeting intracellular protein–protein interactions and other challenging biological targets. However, their poor membrane permeability often limits their biological and therapeutic applications. Understanding the structural factors that govern passive membrane permeation is therefore essential for the rational design of cell-permeable macrocyclic peptides.<br>\r\n<br>\r\nIn this seminar, I will present our recent efforts to understand and predict the membrane permeability of macrocyclic peptides using large-scale experimental data, conformational analysis, and machine learning. We aim to clarify how conformational flexibility, including molecular chameleonicity, influences membrane permeability.<br>\r\n<br>\r\nI will also introduce our ongoing efforts toward DNA-encoded macrocyclic N-methyl peptide libraries as a future platform for discovering functional intracellular binders.</p>",
            "image_description": "Prof. Shinsuke Sando",
            "creation_date": "2026-05-22T16:51:02",
            "last_modification_date": "2026-05-22T16:51:02",
            "link_label": "Prof. Shinsuke Sando",
            "link_url": "https://park.itc.u-tokyo.ac.jp/sandolab/index_e.html",
            "canceled": "False",
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            "place_and_room": "CH G1 495",
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            "speaker": "Prof. Shinsuke Sando, University of Tokyo",
            "organizer": "C. Heinis",
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        {
            "id": 71408,
            "title": "Dinitrogen N2 Activation and Transformation  into N-Containing Organic Compounds",
            "slug": "dinitrogen-n2-activation-and-transformation-into-2",
            "event_url": "https://memento.epfl.ch/event/dinitrogen-n2-activation-and-transformation-into-2",
            "visual_url": "https://memento.epfl.ch/image/32756/200x112.jpg",
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            "lang": "en",
            "start_date": "2026-06-01",
            "end_date": "2026-06-01",
            "start_time": "17:15:00",
            "end_time": "18:30:00",
            "description": "<p>Zhenfeng Xi<br>\r\n<em>College of Chemistry, Peking University, Beijing 100871, China.</em><br>\r\n<br>\r\n<strong><em>Abstract:</em></strong><br>\r\nNowadays almost all artificial synthetic nitrogen-containing organic compounds (N-C bonding) are prepared via ammonia (NH<sub>3</sub>, the Haber-Bosch product). The ultimate research goal of our group is to synthesize nitrogen-containing organic compounds efficiently and directly from N<sub>2</sub> gas as the nitrogen source, bypassing the NH<sub>3</sub>-depended synthetic pathway, mainly via metal-mediated or catalyzed dinitrogen functionalization.<sup>1</sup><br>\r\n<br>\r\n<img alt=\"\" id=\"_x0000_i1025\" o:ole=\"\" src=\"file:///C:/Users/mborcard/AppData/Local/Temp/msohtmlclip1/01/clip_image001.emz\"><br>\r\n<img alt=\"\" id=\"图片_x0020_1\" src=\"file:///C:/Users/mborcard/AppData/Local/Temp/msohtmlclip1/01/clip_image002.emz\"><br>\r\n<br>\r\nAt this presentation, I will briefly introduce two results recently realized in my research group. One result is about the transformation and mechanism on efficient first-step and second-step N<sub>2</sub> electrophilic functionalization of L<sub>n</sub>Cr-N<sub>2</sub> metal dinitrogen complexes.<sup>2</sup> The other result is on the synthesis of nitrogen-containing organic compounds via LiNCNLi formed from N<sub>2</sub> gas and carbon by synergizing the heterogeneous synthetic approach with the homogeneous synthetic methodology.<sup>3</sup><br>\r\n<br>\r\n<strong><em>References</em></strong><strong><em>:</em></strong><br>\r\n<strong>1.</strong> Lv, Z.-J.; Wei, J.; Zhang, W.-X.; Chen, P.; Deng, D.; Shi, Z.-J.; Xi, Z. <em>Natl. Sci. Rev.</em> <strong>2020</strong>, <em>7</em>, 1564-1583.<br>\r\n<strong>2.</strong> (a) Wang, G.-X.; Wang, X.; Jiang, Y.; Chen, W.; Shan, C.; Zhang, P.; Wei, J.; Ye, S.; Xi, Z. <em>J. Am. Chem. Soc.</em> <strong>2023</strong>, <em>145</em>, 9746-9754; (b) Wang, X.; Wu, Y.; Wang, Y.; Sun, R.; Wei, J.; Xi, Z. <em>J. Am. Chem. Soc.</em> <strong>2025</strong>, <em>147</em>, 35413.<br>\r\n<strong>3.</strong> Wu, L.-J.; Wang, Q.; Guo, J.; Wei, J.; Chen, P.; Xi, Z. <em>Angew. Chem. Int. Ed.</em> <strong>2023</strong>, <em>62</em>, e202219298.<br>\r\n </p>",
            "image_description": "",
            "creation_date": "2026-03-19T14:33:36",
            "last_modification_date": "2026-04-20T14:28:58",
            "link_label": "",
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            "speaker": "Prof. Zhenfeng Xi, College of Chemistry, Peking University, Beijing, China <a href=\"https://www.chem.pku.edu.cn/en/People/AcademicStaff/efe292e2a4b94bb380a204aacf927901.htm\">https://www.chem.pku.edu.cn/en/People/AcademicStaff/efe292e2a4b94bb380a204aacf927901.htm</a>",
            "organizer": "Prof. Jieping Zhu <a href=\"https://www.epfl.ch/labs/lspn/\">https://www.epfl.ch/labs/lspn/</a>",
            "contact": "Prof. Jieping Zhu <a href=\"https://www.epfl.ch/labs/lspn/\">https://www.epfl.ch/labs/lspn/</a>",
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            "icalendar_url": "https://memento.epfl.ch/event/export/120126/",
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        {
            "id": 71918,
            "title": "Brain-wide representations of olfactory behavior in C. elegans",
            "slug": "brain-wide-representations-of-olfactory-behavior-i",
            "event_url": "https://memento.epfl.ch/event/brain-wide-representations-of-olfactory-behavior-i",
            "visual_url": "https://memento.epfl.ch/image/33235/200x112.jpg",
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            "lang": "en",
            "start_date": "2026-06-08",
            "end_date": "2026-06-08",
            "start_time": "14:30:00",
            "end_time": "15:30:00",
            "description": "<p>Abstract:<br>\r\nOlfactory navigation emerges from dynamic interactions among sensory input, brain activity, and the animal’s own movements. In C. elegans, a compact nervous system enables brain-wide imaging in behaving animals exposed to controlled olfactory environments, and undulatory locomotion reduces navigation to transitions among forward runs, reversals, and turns. Here, we used brain-wide tracking microscopy to record neural activity in freely crawling worms navigating spatial odor gradients or isotropic environments, and in immobilized worms responding to temporal odor pulses. Across conditions, we identified strongly correlated brain-wide activity patterns spanning olfactory sensory neurons, interneurons, and premotor neurons. Motor-state transitions and brain-wide correlation structure differed between freely moving and immobilized animals, demonstrating that olfactory sensory representations depend jointly on sensory input, motor activity, and behavioral context. Together, these findings show that brain-wide representations of olfactory behavior are extensively reconfigured by sensory input, self-motion, and behavioral context.<br>\r\n </p>",
            "image_description": "",
            "creation_date": "2026-05-21T13:36:09",
            "last_modification_date": "2026-05-21T13:36:09",
            "link_label": "",
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            "canceled": "False",
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            "place_and_room": "GA 3 21",
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            "spoken_languages": [
                "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api"
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            "speaker": "Prof. Aravinthan Samuel &lt;[email protected]&gt;\r\n\r\nDepartment of Physics &amp; Center for Brain Science, Harvard University",
            "organizer": "Prof. Sahand Jamal Rahi &lt;[email protected]&gt;\r\n\r\nJohanni Brea &lt;[email protected]&gt;",
            "contact": "Prof. Sahand Jamal Rahi &lt;[email protected]&gt;\r\n\r\nJohanni Brea &lt;[email protected]&gt;",
            "is_internal": "False",
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            "keywords": "",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/120823/",
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        {
            "id": 71801,
            "title": "Bioengineering Seminar - Professor Jing Yan - Single-cell Imaging of Microbial Communities across Different Spatial and Temporal Scales",
            "slug": "bioengineering-seminar-professor-jing-yan-single-c",
            "event_url": "https://memento.epfl.ch/event/bioengineering-seminar-professor-jing-yan-single-c",
            "visual_url": null,
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            "lang": "en",
            "start_date": "2026-06-12",
            "end_date": "2026-06-12",
            "start_time": "13:00:00",
            "end_time": "14:00:00",
            "description": "<p>Biofilm is an important lifestyle of bacteria where bacterial cells collectively form surface-associated aggregates embedded in a polymeric matrix they secrete. Important in industry and medicine, biofilms also represent a unique form of growing active matter with unique physical and material properties. In this talk, I will highlight our recent work on developing a platform for imaging live, growing biofilm at single-cell resolution, using <em>Vibrio cholerae </em>as the model organism. I will show how bacterial cells physically communicate with each other and the environment to form ordered architecture reminiscent of  liquid crystals. Moreover, I will talk about our recent discovery that heterogeneity in gene expression leads to unexpected pattern formation in biofilm through a drag-based sorting mechanism. I will also highlight ongoing research in the lab on extending the imaging capability to more natural environments including marine animal hosts. I will end by showing our recent findings on the mechanical properties of the extracellular matrix that underlie the architecture of the biofilm.</p>",
            "image_description": "",
            "creation_date": "2026-05-05T13:16:32",
            "last_modification_date": "2026-05-05T13:17:16",
            "link_label": "",
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            "speaker": "Professor Jing Yan, Assistant Professor, Molecular, Cellular and Developmental Biology, Yale University",
            "organizer": "Professor Alexandre Persat",
            "contact": "[email protected]",
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        {
            "id": 71916,
            "title": "AI Center Seminar - AI for Health series - Prof. Li CHEN",
            "slug": "ai-center-seminar-ai-for-health-series-prof-li-c-2",
            "event_url": "https://memento.epfl.ch/event/ai-center-seminar-ai-for-health-series-prof-li-c-2",
            "visual_url": "https://memento.epfl.ch/image/33234/200x112.jpg",
            "visual_large_url": "https://memento.epfl.ch/image/33234/720x405.jpg",
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            "lang": "en",
            "start_date": "2026-06-02",
            "end_date": "2026-06-02",
            "start_time": "10:30:00",
            "end_time": "11:30:00",
            "description": "<p>The talk is jointly organized by the <a href=\"https://ai.epfl.ch/\">EPFL AI Center</a> and the EPFL <a href=\"https://www.epfl.ch/labs/gr-pu/\">Human-Computer Interaction Group</a> as part of the AI for Health seminar series.<br>\r\n<br>\r\n<strong><em>Hosting professor: Prof. Pearl Pu (GR-PU)</em></strong><br>\r\n<br>\r\n<strong>Title</strong><br>\r\nBeyond Recommendations: Designing Conversational Music Agents for Self-Awareness and Psychological Well-being<br>\r\n<br>\r\n<strong>Abstract</strong><br>\r\nAs the demand for scalable mental health tools grows, the potential of Large Language Models (LLMs) lies in their ability to move beyond generic retrieval toward deeply adaptive, trustworthy support. This talk explores how music-driven conversational systems can bridge the gap between algorithmic recommendation and psychological intervention. The journey begins with establishing a foundation of trust through user-centric exploration. Using conversational music recommenders as a case study, I will discuss how critiquing strategies—such as progressive and cascading suggestions—shape user perceptions of helpfulness and serendipity. However, because trust is personal, I demonstrate how individual traits, including personality and trust propensity, dictate whether a user thrives under system-led or user-led initiatives.<br>\r\nBuilding on this rapport, the talk examines how these interfaces transition from suggesting songs to fostering psychological well-being. I will illustrate how music acts as a catalyst for self-awareness, using agents to guide users through emotional resonance and self-reflection. Furthermore, I will share findings on the role of generative AI in music-based reminiscence for older adults, where adaptive dialogue helps overcome cognitive barriers to memory recall. Collectively, these studies provide a roadmap for designing AI that moves beyond the playlist, transforming music-based chatbots into sustained partners for emotional and psychological health.<br>\r\n<br>\r\n<strong>Bio</strong><br>\r\nProfessor Li Chen is currently a Full Professor and Associate Head (Research) in the Department of Computer Science at Hong Kong Baptist University (HKBU). She obtained her PhD degree in Computer Science from the Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland, and her Bachelor's and Master's degrees from Peking University, China. Her recent research focus has mainly been on conversational AI, explainable AI, recommender systems, and human-computer interaction. She has authored and co-authored over 160 publications, with over 13,000 citations (H-index 53). Her co-authored papers have received several awards, such as the RecSys’24 Best Student Paper Award, CHI’22 Honourable Mention Award, UMAP’20 Best Student Paper Award, UMUAI 2018 Best Paper Award, and UMAP’15 Best Student Paper Award. She received the President’s Award for Outstanding Performance in Teaching (Individual) 2024/25 and the President’s Award for Outstanding Performance in Research Supervision 2022/23. She has been included in the list of the world’s top 2% most-cited scientists by Stanford University since 2021, and the list of the Best Computer Science Scientists 2025/2026 by Research.com.<br>\r\n<br>\r\nShe is now an ACM senior member, founding co-editor-in-chief of ACM Transactions on Recommender Systems (TORS), steering committee member of ACM Conference on Recommender Systems (RecSys), associate editor of International Journal of Human-Computer Studies (IJHCS), editorial board member of User Modeling and User-Adapted Interaction Journal (UMUAI), and associate editor of ACM Transactions on Interactive Intelligent Systems (TiiS). She has also served as program co-chair of IUI’26, general co-chair of ACM RecSys’23, program co-chair of ACM RecSys’20, and program co-chair of ACM UMAP’18.<br>\r\n </p>",
            "image_description": "",
            "creation_date": "2026-05-21T11:18:18",
            "last_modification_date": "2026-05-21T13:50:39",
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            "speaker": "Professor Li Chen",
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