Big Data and Machine Learning in Econometrics, Finance, and Statistics, October 5-7, 2023, Chicago

Rina Foygel Barber (Statistics, UChicago), Chao Gao (Statistics, UChicago), Roger Lee (Financial Mathematics, UChicago), Cong Ma (Statistics, UChicago), Per Mykland (Statistics, UChicago), Niels O.Nygaard (Financial Mathematics, UChicago), Dacheng Xiu (Econometrics & Statistics, UChicago), Lan Zhang (Finance, University of Illinois, Chicago)

Organized by the University of Chicago Stevanovich Center for Financial Mathematics.

No registration needed
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Conference location: Eckhardt Research Center (ERC), Room 161, 5640 S Ellis Ave, Chicago.
(Except on Friday afternoon: Stevanovich Center for Financial Mathematics Conference Center, 5727 S. University Ave, Chicago)

Speakers are added as they confirm

Yacine Ait-Sahalia, Princeton University

Torben Andersen, Northwestern University

Heather Battey, Imperial College London

Elynn Chen, New York University

Simon Du, University of Washington, Seattle

Chao Gao, University of Chicago

Yuqi Gu, Columbia University

Marc Hallin, Université Libre de Bruxelles

Jiashun Jin, Carnegie Mellon University

Jason Lee, Princeton University

Cong Ma, University of Chicago

Nour Meddahi, Toulouse School of Economics

Song Mei, University of California, Berkeley

Hongseok Namkoong, Columbia University

Whitney Newey, Massachusetts Institute of Technology

Snigdha Panigrahi, University of Michigan

Feng Ruan, Northwestern University

Pragya Sur, Harvard University

Wei Biao Wu, University of Chicago

Dacheng Xiu, University of Chicagp

Linjun Zhang, Rutgers University