Pedro Sant'Anna is an associate professor of economics at Emory University, where his research primarily focuses on econometrics and the development of causal inference tools. He is particularly known for his work on Difference-in-Differences methods, which are quasi-experimental techniques used for causal inference. His research also involves using data-adaptive machine learning methods.