Simons Foundation Lectures
Mathematics and Computer Science: Machine Learning in the Natural Sciences
The 2024 lecture series in mathematics and computer science is “Machine Learning in the Natural Sciences.” Machine learning has become a transformative tool for advancing science. In these lectures, scientists will discuss their use of machine learning in everything from biology and oceanography to astrophysics and particle physics. These applications are sparking discoveries while also helping scientists uncover what the tools are actually gleaning from data.
Past Lectures
Statistical Physics of Machine Learning
Lenka Zdeborová, Ph.D.Professor of Physics and of Computer Science, École Polytechnique
Lenka Zdeborová, Ph.D.Professor of Physics and of Computer Science, École Polytechnique - Lecture
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Bioinspired Ocean Exploration
John Dabiri, Ph.D.Centennial Professor of Aeronautics and Mechanical Engineering, California Institute of Technology
John Dabiri, Ph.D.Centennial Professor of Aeronautics and Mechanical Engineering, California Institute of Technology - Lecture
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The Next Great Scientific Theory is Hiding Inside a Neural Network
Miles CranmerAssistant Professor, University of Cambridge
Miles CranmerAssistant Professor, University of Cambridge - Lecture
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Exploring and Exploiting the Biomolecular Structure and Function with Machine Learning: Biodiversity and Beyond
Richard Bonneau, Ph.D.Vice President, Machine Learning Drug Discovery, Genentech, Inc.
Richard Bonneau, Ph.D.Vice President, Machine Learning Drug Discovery, Genentech, Inc. - Lecture