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The 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.
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\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.
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\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.
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\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.
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\r\nJoin us in Lausanne to connect with the global community shaping the future of cell understanding and engineering.
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\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
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\r\nGenerously supported by\r\n