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 motivated by applied science questions arising from my collaborative research in the infectious disease sciences, the epidemiology of chronic diseases and cancer, neuropsychiatry and treating substance use disorders, and implementation 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 statistical science—to both expand the frontiers of statistical methodology innovations and promote reproducibility and transparency in the practice of applied statistics and in statistical data science.