![\"\"](\"//memento.epfl.ch/public/upload/fckeditorimage/c2/f6/c5e48d79.jpg\")
\r\nFrom digital puzzles to space simulations, play has become a major arena for creation, innovation, and reflection. Through a curated selection of video games, history books, essays, and academic research, the Library invites you to discover the many dimensions of games and gaming culture. Borrow the documents and keep the experience going at home!
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\r\nChemistry and Chemical Engineering doctoral program
\r\nThesis Nr. 11207
\r\n
\r\nTo take part in the public defense, please contact directly the speaker
\r\nThe EPFL Latsis Symposium 2026: “Decoding the Cell: Modeling, Predicting, and Engineering Cellular States” will be held on October 29-30, 2026, at the Olympic Museum in Lausanne.
\r\n
\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.
\r\n
\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.
\r\n
\r\nHosted by EPFL, the symposium will foster scientific exchange, spark new collaborations, and accelerate progress toward next-generation cell-based therapies, disease models, and synthetic biological innovations.
\r\n
\r\nJoin us in Lausanne to connect with the global community shaping the future of cell understanding and engineering.
\r\n
\r\nSPEAKERS:
\r\n• Gray Camp – Research Group Leader at the Roche Institute for Translational Bioengineering (ITB) in Basel
\r\n• Barbara Engelhardt – Senior Investigator, Gladstone Institutes & Professor, Department of Biomedical Data Science at Stanford University
\r\n• Jeremy Gunawardena – Professor, Department of Medicine and Life Sciences (MELIS), Pompeu Fabra University, Barcelona
\r\n• Muzlifah Haniffa – Head of the Cellular Genomics Programme and Deputy Director of the Wellcome Sanger Institute and Professor of Clinical Dermatology at the University of Cambridge
\r\n• Anshul Kundaje – Associate Professor of Genetics and Computer Science at Stanford University
\r\n• Prisca Liberali – Professor at the Department of Biosystems Science and Engineering, ETHZ & Senior Group Leader at the Friedrich Miescher Institute for Biomedical Research
\r\n• Ewa Paluch – Professor of Anatomy in the Department of Physiology, Development and Neuroscience and Fellow of Trinity College at the University of Cambridge
\r\n• Steve Quake – Professor of Bioengineering and Applied Physics, Stanford University
\r\n• Sussane Rafelski – Sr. Director, Quantitative Biology at the Allen Institute for Cell Science
\r\n• Kevin Tsia – Professor in the Department of Electrical and Electronic Engineering and the Program Director of the Biomedical Engineering Program at the University of Hong Kong
\r\n• Bo Wang – Chief AI Scientist, Vector Institute & Assistant Professor, University of Toronto
\r\n
\r\nGenerously supported by\r\n
![\"\"](\"https://www.epfl.ch/labs/deplanckelab/wp-content/uploads/2025/11/Fondation-Latsis-logo.png\"){kind=logo}
We can build the perfect pedagogical tool. But will students actually use and benefit from it?
\r\n
\r\nThis session explores a question at the heart of the integration of new technology into education: How can a well-designed pedagogical tool be ideally leveraged to truly make a difference in student learning?
\r\n
\r\nFares Fawzi from the ML4ED lab at EPFL will present his development of a GenAI-powered formative feedback tool that is pedagogically aligned, contextually grounded, and interactive.
\r\n
\r\nDeployed during an in-class session as well as for exam preparation in a computer science course at EPFL, the tool performed as intended: responses were relevant, accurate, and aligned with pedagogical frameworks for feedback delivery.
\r\n
\r\nHowever, during this session, we want to invite you to look beyond the pedagogical sophistication of the tool itself, and ask how integration context shapes student engagement and beneficial learning impact.
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\r\n
\r\nlunch&LEARN sessions are intended for anyone who teaches at EPFL.
\r\nThis session is hybrid and can be attended in person or followed via zoom.
\r\nMost sessions are recorded and can be found on the Center LEARN's YouTube channel.
\r\nTo get in touch with the team, to suggest a session or make inquiries, please send an email on lunchLEARN@groupes.epfl.ch
For more than two decades leading professional organizations have called for a reform of the mathematics education of biology and life sciences students. Reflecting the growing importance of mathematics in life sciences research, such reform should bridge the gap between the mathematics students learn and the mathematics used in research.
\r\n
\r\nIn this talk, Steve Bennoun, UCLA, will present how the study of modeling and dynamical systems can be used to create a first-year course that introduces mathematical concepts used in life sciences research in a contextualized way.
\r\n
\r\nStudents first learn to write models for important biological systems such as hormone levels, epidemiological models, and predator-prey models.
\r\n
\r\nTaking a geometrical approach, students learn how to determine the long-term behaviors of models by studying phase plane trajectories and the stability of equilibrium points.
\r\n
\r\nThis enables the study of the concept of “biological switch” or how a cell can start or stop the production of a protein. This is followed by the important notion of qualitative change in a biological systems, or bifurcation.
\r\n
\r\nStudents learn in particular about Hopf bifurcations or how a system can start or stop oscillating. The second part of the course moves somewhat away from the geometrical approach and focuses on how to determine the stability of equilibrium points using the linearization of a model, motivating the study of the necessary notions from linear algebra by studying discrete-time models.
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\r\nThis talk will end with a discussion focusing on research by Sanders et al. (2021) suggesting that such a course supports students success and can reduce equity gaps.
\r\n
\r\n- - - - - - - - - - - - -
\r\n
\r\nlunch&LEARN sessions are intended for anyone who teaches at EPFL.
\r\nThis session is hybrid and can be attended in person or followed via zoom.
\r\nMost sessions are recorded and can be found on the Center LEARN's YouTube channel.
\r\nTo get in touch with the team, to suggest a session, or to make inquiries, please send an email to lunchLEARN@groupes.epfl.ch