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FDS Colloquium: Avrim Blum (TTIC)

Speaker: Avrim Blum (TTIC) Chief Academic Officer and Interim President Toyota Technological Institute at Chicago Wednesday, April 22, 2026 11:30AM - 1:00PM Lunch at 11:30am in 1307 Talk 12:00-1:00pm in 1327 Location: Yale Institute for Foundations of Data Science & Webcast, 219 Prospect Street, New Haven, CT 06511 and via Webcast: https://yale.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=ed83d163-ce1a-48ba-b136-b3ca014e9669

Speaker Bio: I am the co-director of the NSF TRIPODS Institute for Data, Econometrics, Algorithms, and Learning (IDEAL), a member of the Simons Collaboration on Algorithmic Fairness, and supported by an ONR MURI award on Multi-Agent Learning.

My main research interests are in machine learning theory, approximation algorithms, on-line algorithms, algorithmic game theory / mechanism design, algorithmic fairness, and non-worst-case analysis of algorithms. Many years ago I also did work in AI Planning. I am a member of the Simons Collaboration on the Theory of Algorithmic Fairness.
Before joining TTIC, I was a faculty member in the Computer Science Department at Carnegie Mellon University from 1992 to 2017.

I am on the Steering Committees for ITCS and FORC, on the editorial board for JACM, and on the Advisory Board of a new open access journal TheoretiCS. I am also on the Advisory Committee/Board for the Learning Theory Alliance and The Institute for Learning-enabled Optimization at Scale. I was Program Chair for the 2019 Innovations in Theoretical Computer Science (ITCS) Conference, on the Organizing Committee for the STOC 2018 and STOC 2017 Theory Fest, and a member of the SafeToC committee.

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