i'm an academic (bio)statistician working at the interface of causal inference, machine learning, semi-parametric statistics, and computational statistics. i'm passionate about building accessible open-source software for model-agnostic and assumption-lean statistical and causal machine learning methods, and i'm most easily excited by problems at the interface of statistics and the biomedical and public health sciences.
are you looking for open source software for targeted causal machine learning?
consider checking out the tlverse project and
browsing our open source handbook!