He received a PhD from Stanford University in 2015 under the supervision of Ben Van Roy, and spent the 2015-2016 academic year as a post-doc at Microsoft Research New England. Dan's research lies at the intersection of statistical machine learning and sequential decision-making. He works on data-driven online-optimization, multi-armed bandit problems, and reinforcement learning. Reception information Reception to follow at 5 PM.