Dae Woong (David) Ham

I conduct research in the intersection of causal inference and business/social science applications. A lot of my research is motivated by an existing problem in real practice, e.g., digital tech companies wanting to run experiments more efficiently with proper statistical guarantees, without a feasible or appropriate existing solution. Though I am in the operations department, I have obtained my Ph.D. from the Harvard Statistics Department and am planning to continue to do methodological work in statistics. 

I have worked closely with tech companies, e.g. Netflix, on experimentation related problems. On the other hand, I have also worked on pure social science problems with interesting statistical gaps/problems in the current literature. Finally, I have written papers just purely on causal inference methodologies and theory, contributing to the growing literature and importance of general causal inference methods in practice. 

Generally, I am a causal inference researcher. Specifically, I am interested in experimentation, adaptive and sequential inference, Difference-in-Difference and Matching, and causal inference problem in real life!