"AI & Science -- Industry Leadership" Panel Discussion at IPAM at UCLA @IPAMUCLA

Uploaded February 2026 | Updated September 2026, 3 weeks ago

Recorded 10 February 2026. Chuck Ng welcomes Sebastien Bubeck of OpenAI, Jiantao Jiao of NVIDIA, Erran Li of Amazon AWS, and Hoifung Poon of Microsoft Research for a panel discussion on "AI & Science -- Industry Leadership" at IPAM's AI for Science Kickoff.
Learn more online at: https://www.ipam.ucla.edu/programs/special-events-and-conferences/ai-for-science-kickoff-2026/?tab=schedule

About AI for Science Kickoff 2026: This inaugural event brings together the pioneers who are defining how AI will accelerate scientific discovery — from Nobel and Fields Medal laureates to the leaders shaping AI innovation across academia, research labs, and industry. The event features keynote talks by leading AI Scientists and Mathematicians, as well as panel discussions focusing on perspectives on AI from three sides: Mathematics, Higher Education, and Industry. This event is organized jointly by IPAM, the UCLA Division of Physical Sciences, the SAIR Foundation and the World Leading Scientists Institute.

AI & Science Industry Leadership Panel Discussion at IPAM at UCLA

Gitta Kutyniok - From Mathematical Guarantees to Computational Limits of AI Interpretability

Michael Perlmutter - The Geometric Scattering Transform for High-dimensional Data Analysis

Gabriele Merlo - Multi-fidelity approach to multiscale nature of plasma turbulence in stellarators

Eunice Jun - Imagining a new future for science - IPAM at UCLA

Pablo Rodriguez-Fernandez - Designing tokamak core plasmas from scaling laws to first-principles sim

$Jakob Kottman - Holistic Approaches to Quantum Computation: Software and Algorithmics Recorded 19 February 2026. Jakob Kottman of Universität Augsburg presents Holistic Approaches to Quantum Computation: Software and Algorithmics at IPAMs Bridging the Gap Between NISQ and FTQC Workshop. Abstract: A significant fraction of present-day quantum algorithmic research relies on numerical procedures to gain further insights and explore new applications. Here, one typically deals with numerous interconnected classical and quantum algorithmic components. In this talk, I will illustrate how quantum algorithmics and scientific software development can form a powerful symbiosis to tackle problems in electronic structure Learn more online at: https://www.ipam.ucla.edu/programs/workshops/bridging-the-gap-between-nisq-and-ftqc/$

Charles Epstein - The Kimura Diffusion Equation in Population Genetics, Theory and Numerics

Lise-Marie Imbert-Gerard - An introduction to magnetic confinement in toroidal devices

Jochen Garcke - Introduction to Machine Learning for Science and Engineering - IPAM at UCLA

Egemen Kolemen - Overview of AI4Fusion - IPAM at UCLA