Christopher Harshaw is an Assistant Professor in the Columbia Statistics department. He received a PhD from Yale University and was a FODSI postdoc hosted jointly between UC Berkeley and MIT. His research lies at the interface of causal inference and algorithm design, with a particular focus on the design and analysis of randomized experiments.