Dr. Dae Ham

Biography

Dae Woong Ham conducts research at the intersection of causal inference and business/social science applications. His work is significantly motivated by real-world problems faced by modern large digital technology companies, specifically regarding the efficient analysis of extensive experiments while adhering to proper statistical guarantees. A Ph.D. graduate from Harvard University, he has extensive experience working closely with tech companies like Netflix, tackling experimentation and causal inference challenges. His research spans adaptive sequential inference, Difference-in-Difference Matching, randomization inference, and design-based causal inference. Ham has also contributed to theoretical advancements in causal inference methodologies, engaging with the growing literature that underscores the importance of causal inference methods in practice.

Research Interests