I am an assistant professor of biostatistics at the Harvard Chan School of Public Health. My research interests primarily center on causal inference; semi-parametric estimation—especially causal machine learning; assumption-lean and/or non-parametric inference; and computational statistics. My research in statistical methods is often motivated by applied science investigations in infectious disease science, the study of chronic diseases, and cancer science.
A secondary theme of my research centers around the use of high-performance numerical computing in and development of open-source software tools for the statistical sciences—aiming both to expand the frontiers of statistical methodology innovations and to promote reproducibility and transparency in the practice of applied statistics and data science.