I am an assistant professor of biostatistics at the Harvard Chan School of Public Health. My research interests primarily center on causal inference and causal machine learning, non-parametric statistics, model-agnostic inference, applied semi-parametric theory, and computational statistics. My methods research is usually motivated by applied science questions from 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 statistical science—aiming to push forward the boundaries of statistical methods innovations and also promote reproducibility and transparency in the practice of applied statistics and data science.