Jonathan Weare (Pritzker AI+Science Visiting Scholar): Schmidt AI in Science Speaker Series

Organized by the University of Chicago’s Eric and Wendy Schmidt AI in Science Fellowship Program.

Agenda
4:00pm – 4:45pm:  Presentation
4:45pm – 5:00pm:  Q&A
5:00pm – 5:30pm: Reception

NEW MEETING LOCATION
Data Science Institute
5460 S University Ave
Room 105
Map It

Abstract: Prediction of the future behavior of a dynamical system from time series observations is a fundamental task in science and engineering. Prediction is made particularly difficult when the future behavior of interest involves some rare or extreme event. Examples include extreme weather or climate events, failure of reliable engineering products, and the conformational rearrangements that determine critical functions of biomolecules in our bodies. I will discuss efforts with my group and collaborators to develop new methods for prediction of extreme events as well as some surprising theoretical results indicating that, with the right algorithm, high accuracy is possible even with limited data (even a data set shorter than the timescale of the event itself).

Bio: Jonathan Weare, Pritzker AI+Science Visiting Scholar. I am a professor of mathematics in the Courant Institute of Mathematical Sciences at New York University. Previously I was an associate professor in the statistics department and in the James Franck Institute at the University of Chicago and, before that, an assistant professor in the mathematics department there. Before moving to Chicago, I was a Courant Instructor of mathematics at NYU and a PhD student in mathematics at the University of California at Berkeley.