14:15–15:00 (Swiss Time)
\r\nDr. Xavier Hernandez-Alias (Max Planck Institute of Biochemistry; in person)
\r\nMulti-scale analysis of mRNA translation adaptation to nutrient shifts reveals novel regulatory elements
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\r\n15:00–15:45 (Swiss Time)
\r\nProf. Silvi Rouskin (Harvard Medical School; online)
\r\nSequence is all you need – Large Language Models Decode the Structural Grammar of IRESes
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\r\nFree coffee & cakes for in-person participants from 14:00 at the AI Lounge
\r\nAI Center, ELE 117, EPFL
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\r\nRegister (in person): https://forms.office.com/e/KbdLYQ52fj
\r\nJoin online: https://epfl.zoom.us/j/61493685341
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Thesis Directors: Dr. S. Mischler, Dr A. N. Igual Muñoz
\r\nMaterials Science and Engineering doctoral program
\r\nThesis Nr. 11619
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\r\nTo take part in the public defense, please contact directly the speaker
Thesis Directors: Prof. G. Boero, Dr H. Furci
\r\nMicrosystems and Microelectronics doctoral program
\r\nThesis Nr. 11256
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\r\nTo take part in the public defense, please contact directly the speaker
The talk is jointly organized by the EPFL AI Center and the AIMM Lab as part of the AI for Science seminar series.
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\r\nHosting professor: Prof. Charlotte Bunne (AIMM)
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\r\nThis event is restricted to EPFL members. Registration with an EPFL email is required: HERE.
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\r\nTitle
\r\nAI for Science at Anthropic: Building Tools for Scientific Discovery
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\r\nAbstract
\r\nThis talk will explore Anthropic's approach to developing AI systems that can meaningfully accelerate scientific research. I'll discuss our AI for Science program, share examples of how researchers are using Claude across domains from molecular biology to materials science, and outline our thinking on what makes AI genuinely useful for working scientists. I'll also touch on the Model Context Protocol (MCP) and how it enables integration with scientific tools and data sources.
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\r\nBio
\r\nJonah Cool leads life sciences partnerships and deployment at Anthropic, where he works directly with researchers, academic institutions, and biotech startups to apply frontier AI to scientific discovery. His focus is on understanding where large language models can meaningfully accelerate biological research and building the partnerships, evaluation frameworks, and deployment practices to make that happen responsibly.
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\r\nBefore Anthropic, Jonah served as VP of Science & Partnerships at the Chan Zuckerberg Initiative, where he launched the Single Cell Biology program and led cross-sector technology development spanning biotech, academia, and philanthropy. He holds a PhD in cell biology (AHA fellow) and completed a postdoctoral fellowship at the Salk Institute (NIH fellow). His career has moved across academia, biotech startups, large-scale philanthropy, and now frontier AI, connected by a consistent focus on finding the leverage points where new technology can change how science gets done.
The Innovation Booster Fashion & Lifestyle empowers operational, technological, and social innovations developed with and for the Swiss Fashion and Lifestyle sector.
\r\nLeveraging the Leading House community and network, the Innovation Booster Fashion & Lifestyle creates a unique ecosystem enabling the dissemination of radical solutions to the challenges of the sector.\r\n
Can AI be part of the sustainability solution - without becoming part of the problem? Join us for an afternoon of expert talks, real-world use cases, and open discussion at the intersection of artificial intelligence and environmental responsibility.
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\r\nEPFL Innovation Park, Building C, Room Neptune
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\r\n22 April 2026
\r\n16:00 – 19:00
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\r\nMore information and registration: HERE
Are you developing a medical device or a digital health solution?
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\r\nThe Human Health by Design program supports early‑stage teams in designing, prototyping, and validating solutions grounded in real clinical needs.
\r\nThis 6‑month program (June–December 2026) combines field immersion, user‑centered design, and multidisciplinary expertise to accelerate the adoption of impactful, safe, and clinically relevant technologies.
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\r\nWhat the program offers\r\n