We can build the perfect pedagogical tool. But will students actually use and benefit from it?
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\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?
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\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.
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\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.
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\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\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
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\nRegistration with an EPFL email is required: HERE.
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\r\n! This event is restricted to EPFL members. The Zoom live stream is also restricted and requires authentication with an EPFL email address for access. !
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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 call SNSF Starting Grant 2026 will open on 1 February 2026, with a deadline for submission on 5 May 2026.
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\r\nThis call will enable researchers to lead an independent project and a team in Switzerland.
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\r\nFunding: Max. CHF 1M + applicant's salary, for max. 5 years.\r\n
Please join us for the QSE Center Quantum Seminar with Johannes Zeiher from the LMU Munich who will give a talk about \"Quantum computing with metastable atomic qubits\" on Friday May 8 from 12pm to 1:30pm.
\r\nLocation: BS 150
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\r\nPizzas will be available at 12:00. All PhDs, postdocs, students, group leaders, and PIs are welcome to join us.
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\r\nTITLE: \"Quantum computing with metastable atomic qubits\"
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\r\nABSTRACT:
\r\nAtom arrays have shaped the research frontiers of quantum simulation, quantum metrology, and quantum computation in recent years. In this talk, I will present our approach to quantum computing utilizing metastable fine-structure qubits in bosonic strontium atoms. Combining long coherence times, high-fidelity gates, and coherent atom shuttling with THz-scale qubit splitting, we realize a powerful computational platform featuring a natural implementation of logical qubits. Leveraging velocity-selective addressing of individual atoms enables mid-circuit readout or resets, opening the path to cyclic error correction or measurement-based quantum computing. Furthermore, I will present our approach to scaling atom arrays based on directly loaded large-scale optical lattices. Utilizing a specialized, highly anisotropic lattice geometry, we directly load thousands of individually addressable strontium atoms from the magneto-optical trap and demonstrate continuous replenishment of atoms in the system. Our work establishes the fine-structure qubit in strontium as a promising qubit platform for neutral-atom quantum computers and showcases the scalability of atom arrays trapped in optical lattices.
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\r\nBIO:
\r\nJohannes Zeiher studied physics at the LMU Munich and the University of Cambridge, where he obtained his masters degree in 2012. He did his PhD in the group of Immanuel Bloch at MPQ, focusing on quantum simulations with neutral atoms in optical lattices, in particular employing highly excited Rydberg states for realizing quantum spin models. For this work, he received the Otto Hahn Medal of the Max Planck Society. Following his postdoc as a Feodor Lynen Fellow at UC Berkeley with Dan Stamper-Kurn on single-atom cavity QED, in 2020 he joined the Quantum Many-Body Systems Division at MPQ as a research group leader. Since 2022, he leads the independent research group “Quantum Matter Interfaces” at MPQ, which is supported by the BMBF through the Quantum Future program for Junior Research Groups. Since 2025, Johannes is a Professor for Synthetic Quantum Matter at the LMU Munich. His research focuses on quantum computing, quantum gas microscopy of many- and few-body systems in optical lattices and novel light-matter interfaces.
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