I'm an academic (bio)statistician and statistical scientist. My work sits at the interface of statistical causal inference, causal (or de-biased) machine learning, semi-parametric estimation, statistical machine learning, and computational statistics.
- I organize the NSH Lab (pronounced like "niche"), a statistical science research group that develops theory, methods, algorithms, and open-source software tools to improve causal-analytic and statistical learning. Research in the group is motivated directly by and tied to data-driven questions from the applied biomedical and 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.