Fan Li

My current research interests are four fold. First, I am developing statistical methods to incorporate causal inference techniques into the design and analysis of clinical trials or generally randomized experiments, e.g. constructing external controls of clinical trials from real world data, best practice of covariate adjustment in randomized trials. Second, I am exploring the interface between causal inference and machine learning, e.g. how to borrow insights from causal inference into fundamental problems in machine learning such as measuring feature importance. Third, I am investigating how to analyze natural experiments with complex data. Fourth, I am developing computational and software tools to bridge the theory and practice of causal inference (aka comparative effectiveness research).