Data Science Day 2023
Data Science Day provides a forum for innovators in academia, industry, and government to connect. The in-person conference will host keynote presentations from leading voices in data-driven innovation, lightning talks from Columbia University researchers, and interactive poster and technology demonstrations.
Date: Wednesday, April 19, 2023
Format: In-Person Only: Alfred Lerner Hall (920 Broadway, New York, NY 10027)
REGISTER HERE
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Keynote Speaker
Manuela Veloso, Head of J.P. Morgan Chase AI Research; and Herbert A. Simon University Professor Emerita at Carnegie Mellon University
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Lightning Talks
View Abstracts
The Human in AI Systems
Kelton Minor, Data Science Institute (Postdoctoral Researcher)
Kaveri Thakoor, Department of Ophthalmology, Columbia University Irving Medical Center
Maxim Topaz, School of Nursing, Columbia University Medical Center
Sandra C. Matz, Columbia Business School
Moderator: Anthony Vanky, Graduate School of Architecture, Planning, and Preservation
Data Driven Finance for Society and Wall Street
Agostino Capponi, Industrial Engineering and Operations Research, Columbia Engineering
Harry Mamaysky, Program for Financial Studies, Columbia Business School
Mario Small, Social Science, Graduate School of Arts and Sciences
Moderator: Yao Lu, Professor of Sociology, Faculty of Arts and Sciences
AI Generating Code, Dialog and Vision
Baishakhi Ray, Computer Science, Columbia Engineering
Zhou Yu, Computer Science, Columbia Engineering
Carl Vondrick, Computer Science, Columbia Engineering
Moderator: Eric L. Talley, Columbia Law School
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Poster & Demo Session
Meet and network with the researchers who are building the next generation of data science methods and applications. The event will include a pavilion of 50+ posters and demonstrations created by talented researchers from across Columbia.
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Thank You!
Data Science Day is made possible by the support of the DSI Industry Affiliates Program. Industry Affiliate Companies include: Accenture; Amazon; Bloomberg; Capital One; DiDi; Elsevier; Ernst & Young; Fidelity Investments; General Electric; Genpact; Goldman Sachs; Google; IBM; Johnson & Johnson; JPMorgan Chase & Co.; KPMG; L'Oreal; Mastercard; MediaMath; Microsoft Research; Moelis & Company; Moody's; Novartis; NYC Government; PIMCO; Ralph Lauren Corporation; Stellar Development Foundation; Swiss Re; TDF Ventures; Two Sigma; Unilever; Vanguard