Dan Russo

Assistant Professor
Columbia

Abstract: TBA

Bio:

Professor 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. He recieved my PhD from Stanford University in 2015, where he was advised by Benjamin Van Roy. In 2011 he recieved my BS in Mathematics and Economics from the University of Michigan.

Professor 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.