ML@GT Seminar: Daniel Russo, Columbia University

ML@GT invites you to a seminar by Daniel Russo, an assistant professor at Columbia Business School.

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Talk Title

Check back soon for updated information.


Check back soon for updated information.


Russo joined the Decision, Risk, and Operations division of the Columbia Business School as an assistant professor in Summer 2017. Prior to joining Columbia, he spent one great year as an assistant professor in the MEDS department at Northwestern's Kellogg School of Management and one year at Microsoft Research in New England as Postdoctoral Researcher. Russo recieved his Ph.D. from Stanford University in 2015, where he was advised by Benjamin Van Roy. In 2011 Russo recieved his  BS in Mathematics and Economics from the University of Michigan.

Russo's research lies at the intersection of statistical machine learning and sequential decision-making, and contributes to the fields of online optimization, reinforcement learning, and sequential design of experiments. He is interested in the design and analysis of algorithms that learn over time to make increasingly effective decisions through interacting with a poorly understood environment.

Event Details


  • Wednesday, March 11, 2020
    12:15 pm - 1:15 pm
Location: Marcus Nanotechnology Building, Rooms 1116-1118

For More Information Contact

Kyla Hanson