Daniel Jiang

Research Scientist

I joined Facebook as a research scientist in January 2019 to work on reinforcement learning, approximate dynamic programming, and Bayesian optimization algorithms on the Core Data Science team. More broadly, I am interested in both the methodological and applied aspects of sequential decision-making under uncertainty. I received my PhD in Operations Research & Financial Engineering from Princeton University in 2016 and am also affiliated with the University of Pittsburgh as an assistant professor (currently on leave) in Industrial Engineering.


Reinforcement learning, approximate dynamic programming, Bayesian optimization, operations research

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