I am an assistant professor of biostatistics at the Harvard Chan School of Public Health. My research interests center on statistical causal inference; semi-parametric estimation and causal machine learning; assumption-lean or non-parametric inference; and statistical machine learning. My methods research is usually motivated by applied science investigations in infectious disease science, in the study of chronic diseases, and in 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.