Max Balandat

Research Scientist

I joined Facebook as a Data Scientist in November 2016 after completing a M.A. in Mathematics and a Ph.D. in Electrical Engineering and Computer Sciences at UC Berkeley. My research focuses on the intersection of Machine Learning and Econometrics, in particular on how to utilize Machine Learning algorithms to perform causal inference in experimental and non-experimental settings. I am also interested in adaptive experiments and sequential hypothesis testing.


Machine Learning and Econometrics, Causal Inference, Adaptive Experiments, Online Learning Algorithms, Game Theory, and Incentive Design

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