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2024 AI+Science Summer School

Following a successful AI+Science Summer School in 2022 and 2023 with a total of 208 participants from 66 research institutions and industry, the 2024 AI+Science Summer School will be held from July 15th – 19th, jointly hosted by the Data Science Institute (DSI), the Eric and Wendy Schmidt AI+Science Postdoctoral Fellowship Program, and the Institute for Mathematical and Statistical Innovation (IMSI) 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. 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 goal of this yearly 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.

2024 Presenters: 

Muratahan Aykol, Google Deep Mind

Nhan Tran, Fermilab

Pedram Hassanzadeh, University of Chicago

Chihway Chang, University of Chicago

Daniel Schwalbe-Koda, UCLA

Srijit Seal, Harvard

Sunganya Sivagurunathan, Harvard

Tess Smidt, MIT

Zachary Ulissi, Carnegie Mellon University 

 

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