I'm an academic (bio)statistician working at the interface of causal inference, debiased and/or targeted machine learning, semi-parametric statistics, statistical machine learning, and computational statistics.
- I currently manage the NSH Lab (pronounced like "niche"), a (bio)statistical science research group focused on developing theory, methods, algorithms, and open-source software for causal-analytic and statistical learning, most often inspired by open questions in the biomedical and public health sciences.
- A while ago, I co-created and served as a core developer for the
tlverseproject, an open-source software ecosystem of R packages for Targeted Learning; the project includes an open-source handbook to guide implementation of the methods.