The Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship

DATES: July 15 – 19, 2024
LOCATION: The University of Chicago’s Institute for Mathematical and Statistical Innovation

Modern artificial intelligence and machine learning will fundamentally change scientific discovery. We are just beginning to understand the possibilities presented by an era of extraordinarily powerful computers coupled with advanced instruments capable of collecting enormous volumes of high-resolution experimental data. Off-the-shelf machine learning tools cannot fully extract the knowledge contained in these datasets, let alone generate new theories and propose future experiments.

The AI + Science Summer School will be held from July 15th – 19th, jointly hosted by the Data Science Institute (DSI), the Institute for Mathematical and Statistical Innovation (IMSI) at the University of Chicago, and Schmidt Sciences via our Eric and Wendy Schmidt AI in Science Fellowship program at the University of Chicago.

This year’s speakers will focus on applications of AI and Machine learning in core areas of domain science – genetics and physics, materials and chemistry, energy sciences, climate sciences and bioinformatics. The goal of the program is to introduce a new generation of diverse interdisciplinary graduate students and researchers to the emerging field of AI + Science. We also hope this program can build community and spur new research directions focused on AI-enabled scientific discovery across the physical and biological sciences. Lectures and tutorials will focus on some of these areas: Generative models, Representation learning, Label-efficient learning, Simulation-based inference and other inverse problems, and Uncertainty quantification.

The organizing committee for the AI + Science Summer School includes Peter Lu, Ritesh Kumar, Yihang Wang, Anthony Badea, Mark Schulze, Simona Ahmed, and Rebecca Willett.


Tess Smidt

Assistant Professor of Electrical Engineering and Computer Science at MIT

Pedram Hassanzadeh

Associate Professor, Department of Geophysical Sciences and the College (University of Chicago)

Michael P. Brenner

Michael F. Cronin Professor of Applied Mathematics and Applied Physics and Professor of Physics at Harvard

Muratahan Aykol

Research Scientist at Google DeepMind

Zachary Ulissi

Professor of Chemical Engineering at Carnegie Mellon University

Sunganya Sivagurunathan

Postdoctoral Researcher at Broad Institute at MIT & Harvard

Srijit Seal

Postdoctoral Researcher at Broad Institute at MIT & Harvard

Daniel Schwalbe-Koda

Assistant Professor in Materials Science and Engineering at UCLA

Jennifer Ngadiuba

Associate Scientist at Fermi National Accelerator Laboratory
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