Daniel Russo
 |
Assistant Professor at Columbia Business School |
About Me
I joined the Decision, Risk, and Operations division of the Columbia Business School as an assistant professor in Summer 2017. Prior to joining Columbia, I 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. I recieved my PhD from Stanford University in 2015, where I was advised by Benjamin Van Roy. In 2011 I recieved my BS in Mathematics and Economics from the University of Michigan.
Research Interests
My 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. I am interested in the design and analysis of algorithms that learn over time to make increasingly effective decisions through interacting with a poorly understood environment.