Big Data and Machine Learning in Econometrics, Finance, and Statistics, October 6-8, 2022, Chicago

SCIENTIFIC ORGANIZING COMMITTEE

Rina Foygel Barber, University of Chicago, Chao Gao, University of Chicago,  Roger Lee, University of Chicago, Per Mykland, University of Chicago, Niels Nygaard, University of Chicago, Rebecca Willett, University of Chicago, Dacheng Xiu, University of Chicago, Lan Zhang, University of Illinois at Chicago.

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


CONFIRMED SPEAKERS

Speakers are added as they confirm

Yacine Ait-Sahalia, Princeton University

Rina Foygel Barber, University of Chicago

Matt Dixon, Illinois Tech

Edgar Dobriban, University of Pennsylvania

Jianqing Fan, Princeton University

Eric Ghysels, University of North Carolina at Chapel Hill

Tracy Ke, Harvard University

Bryan Kelly, Yale University

Per Mykland, University of Chicago

Mark Podolskij, University of Luxembourg

Zhao Ren, University of Pittsburgh

Emil Stoltenberg, Oslo School of Business (BI)

Pragya Sur, Harvard University

Rasmus Varneskov, Copenhagen Business School

Victor Veitch, University of Chicago

Dacheng Xiu, University of Chicago

Paolo Zaffaroni, Imperial College London

Anru Zhang, Duke University

Lan Zhang, University of Illinois Chicago