The EPFL AI Center is delighted to invite you to join the exchange session about the Research Computing Platform (RCP).
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\r\nAre you building, training ML models? Are you currently facing challenges regarding IT infrastructure, and looking for reliable, collaborative, high-capacity, and affordable storage solutions to manage your research data? Are you seeking information about the computing costs?
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\r\nThe Research Computing Platform (RCP) offers campus-wide IT infrastructure geared for the research community. The offering includes a GPU infrastructure (> 400) aiming at making AI compute as accessible as possible throughout the campus.
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\r\nThis event will provide insights into the various services RCP offers to the EPFL research community.
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\r\nEvent Details:\r\n
Living systems consume energy and information to survive, grow, and reproduce. These vital dynamics occur across many scales of space and time, but the most fundamental is molecular: atoms and the bonds between them. The genetic code is written in atoms. It in turn specifies the atomic structures of proteins, biology’s energy and information processing units, which execute their functions in molecular space. Therefore, in a deep sense, atomic motion is the foundation from which life emerges. I seek to understand that motion.
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\r\nOne direct and powerful route is to film macromolecules with chemical resolution in both space (Å) and time (fs). I will describe a technology that uniquely enables us to achieve both simultaneously – the X-ray free-electron laser – and show how my team has used XFELs to watch two proteins at work.
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\r\nFirst, I will present our experiments on photolyase, an enzyme that harnesses light to repair life-threatening DNA damage. We found photolyase achieves very high repair quantum efficiency through an unexpected mechanism: by locking its photoexcited chromophore into a bent configuration. Further, photolyase achieves product/substrate specificity geometrically, using a rigid active site that matches substrate but not product. Second, I will share preliminary results on cryptochrome 4, a descendant of photolyase that has been proposed to act as an avian magnetosensor. Do birds navigate using a quantum magnetic compass? Our experimental program is investigating this provocative hypothesis.
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Step into the world of cutting-edge imaging and discover how modern light microscopy helps shape life sciences. This intensive, hands-on course will take you beyond the basics — exploring the principles, possibilities, and powerful applications of today's most advanced microscopy techniques. Whether you're tracking proteins in real time, decoding molecular interactions, or chasing nanometer-scale resolution, this course will give you the tools and confidence to turn microscopy into a cutting-edge tool.
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\r\nA rich mix of theory and live demonstrations on state-of-the-art instruments, covering:\r\n
This two-week programme will be held from 06 to 17 July 2026 at the Bernoulli Center.
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\r\nThe first week features a series of lecture courses primarily aimed at early-career researchers. The second week is a research conference.
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\r\nA central theme of the meeting is Functorial Quantum Field Theories beyond TQFTs and the Segal-Stolz–Teichner programme.
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\r\nThe event will highlight recent developments in extended functorial field theories; analytic structures in quantum field theory, including higher categorical analogues of von Neumann algebras and Hilbert spaces; categorified geometric structures, such as higher vector bundles and stringor bundles; and, supersymmetry and its role in generalized cohomology theories.
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\r\nThe workshop and conference hope to provide an opportunity to advance the interface between homotopy theory, operator algebras, and quantum field theory.
In combinatorics and ergodic theory, the decomposition into structured and random objects has been successfully exploited to prove density results and refinements. In both fields, nilsystems are the model for structured configurations. Recently, Kra, Moreira, Richter, and Roberson used dynamics in nilsystems to provide a density version of Hindman's theorem. In this talk, we delve into further sumset consequences for these two extreme cases and provide some examples of applications.
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