The University of Chicago and Caltech Conference on AI+Science
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Overview
The University of Chicago and the California Institute of Technology are centers of gravity for the study, application, and use of AI and Machine Learning to enable scientific discovery across the physical and biological sciences, advancing core AI principles and training a new generation of interdisciplinary scientists. To both advance this scientific and technical pursuit and demonstrate the leadership of UChicago and Caltech in this space, we will host The University of Chicago and Caltech Conference on AI+Science, Sponsored by the Margot and Tom Pritzker Foundation, in Chicago from March 28 – 30, 2023. This event will bring together an elite and diverse cohort of leading researchers in core AI and domain sciences to lead conversations and drive partnerships that will shape future inquiry, industry investment, and entrepreneurial opportunities.
The event will take place at the David Rubenstein Forum at the University of Chicago.
Questions? Contact data-science@uchicago.edu
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Speakers
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Tuesday, March 28th
- Agenda
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8:45 am - 9:00 am: Welcome Address
Paul Alivisatos, President of the University of Chicago; John D. MacArthur Distinguished Service Professor in the Dept. of Chemistry
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9:00 am - 9:45 am: AI+Science - An Overview of the Field
Rick Stevens, Associate Laboratory Director, Computing, Environment and Life Sciences, Argonne; Professor of Computer Science, University of Chicago
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9:45 am - 11:45 am: Climate Science and AI
9:45 am: “Machine Learning in Climate Modeling: Challenges and Potential”
Gavin Schmidt, Director of Goddard Institute for Space Studies, NASA
10:30 am: BREAK
11:00 am: “Explainable AI for Climate Science: Opening the Black Box to Reveal Planet Earth”
Elizabeth Barnes, Professor of Atmospheric Science at Colorado State University
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11:45 am - 12:30 pm: Biology and AI (Part 1)
11:45 pm: “Deep learning for genomic discovery”
Anshul Kundaje, Assistant Professor of Genetics and Computer Science at Stanford University
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12:30 pm - 1:30 pm: Lunch
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1:30 pm - 4:00 pm: Biology and AI (Part 2)
1:30 pm: “Deciphering the immune system using single-cell genomic data”
Samantha Riesenfeld, Assistant Professor in the Pritzker School of Molecular Engineering
2:15 pm: “Generative modeling of conformers, binding poses and protein 3D structures”
Tommi Jaakkola, Thomas Siebel Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology
3:00 pm: “How machine learning is changing protein engineering”
Jen Listgarten, Professor in Electrical Engineering and Computer Sciences Dept. at the University of California Berkeley
3:45 pm: BREAK
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4:00 pm - 4:45 pm: AI Methods in Science and Engineering
“Causal Representation Learning – A Proposal”
Caroline Uhler, Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology
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5:15 pm - 6:30 pm: Reception and Student Poster Session
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Wednesday, March 29th
- Agenda
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9:00 am - 12:30 pm: Physics and AI (Part 1)
9:00 am: “Provably-exact AI for first-principles calculations of the structure of matter”
Phiala Shanahan, Associate Professor of Physics at the Massachusetts Institute of Technology
9:45 am: “Learning in a quantum world”
John Preskill, Richard P. Feynman Professor of Theoretical Physics at the California Institute of Technology
10:30 am: BREAK
11:00 am: “The Hidden Geometry of Particle Collisions”
Jesse Thaler, Professor of Physics at the Massachusetts Institute of Technology
11:45 am: “Learning models from biological data”
Vincenzo Vitelli, Professor, James Franck Institute and Dept. of Physics at the University of Chicago
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12:30 pm - 1:30 pm: Networking Lunch
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1:30 pm - 2:15 pm: Physics and AI (Part 2)
1:30 pm: “Autonomy: from Mars to Restored Mobility”
Morteza Gharib, Hans W. Liepmann Professor of Aeronautics and Bioinspired Engineering at Caltech
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2:15 pm - 4:15 pm: AI+Science Public Lectures
2:15 pm: “AI Accelerating Science: Neural Operators for Learning on Function Spaces”
Anima Anandkumar, Bren Professor at Caltech and Senior Director of AI Research at NVIDIA
3:15 pm: “The COVID Moonshot: Open science discovery of a novel oral SARS-CoV-2 antiviral”
John Chodera, Associate Member, Sloan Kettering Cancer Center
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4:30 pm - 5:15 pm: Panel - AI + Science: Opportunities for Entrepreneurship and Innovation
Jai Das, Partner & Co-Founder, Sapphire Ventures
Andrew Feldman, CEO & Co-Founder, Cerebras Systems
Michelle Hoffmann, Executive Director, Chicago Biomedical Consortium
Evan Sparks, Chief Product Officer, Artificial Intelligence, Hewlett Packard Enterprise
Moderator: Juan de Pablo, Executive Vice President for Science, Innovation, National Laboratories, and Global Initiatives, University of Chicago
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Thursday, March 30th
- Agenda
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9:00 am - 11:45 am: Chemistry and Materials
9:00 am: “Learning Molecular Mechanisms”
Aaron Dinner, Professor in the Dept. of Chemistry, James Franck Institute, and Institute for Biophysical Dynamics and Deputy Dean of Academic Affairs of the Physical Sciences Division at the University of Chicago
9:45 am: “Machine Learning for Molecules and Brains”
Max Welling, Research chair in Machine Learning at the University of Amsterdam
10:30 am: BREAK
10:45 am: “Machine Learning-Guided Directed Evolution of Functional Proteins”
Andy Ferguson, Associate Professor of Molecular Engineering and Vice Dean of Equity, Diversity, and Inclusion in the Pritzker School of Molecular Engineering at the University of Chicago
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11:30 am - 12:45 pm: A Vision of AI and Science
11:30 am: Rebecca Willett, Faculty Director of AI, Data Science Institute; Professor, Statistics, Computer Science, and the College
12:15 pm: A fireside chat with Eric Schmidt, Co-Founder, Schmidt Futures; Former CEO and Chairman, Google, hosted by David Miller, Associate Professor, in the Dept. of Physics, Enrico Fermi Institute, and the College at University of Chicago
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12:45 pm - 1:00 pm: Closing Remarks
Angela Olinto, Dean, Physical Sciences Division; Albert A. Michelson Distinguished Service Professor, Department of Astronomy and Astrophysics; Enrico Fermi Institute