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 statistics and causal machine learning, model-agnostic and non-parametric inference, and computational statistics. My methodological work is often motivated by applied science investigations in the infectious disease sciences, 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.