Fan Li is an Assistant Professor in the Department of Biostatistics at the Yale School of Public Health. He received his PhD degree in Biostatistics from Duke University in 2019. Dr. Li’s research focuses on statistical methodology to evaluate comparative effectiveness with real-world data arising from pragmatic clinical trials, observational studies or a combination of both. He is an expert in the design, monitoring, analysis and interpretation of parallel-arm, crossover and stepped-wedge cluster randomized studies, which are increasingly adopted in pragmatic trials embedded in the health care delivery systems. He has also been developing new propensity score methods to enable causal inference with real-world observational data, with a focus on improving overlap and internal validity. His recent interests also include developing robust causal inference methods to integrate randomized trials and observational studies to achieve improved generalizability and external validity. His methodological research has been funded by the Patient-Centered Outcome Research Institute (PCORI).