My work involves developing and utilizing methodological and computational aspects of multivariate statistics and machine learning. I enjoy the interdisciplinary nature of statistics and the opportunity to collaborate with domain experts on behavioral, genetic, and genomic datasets. As a computational scientist at JAX, I contribute to data-driven scientific discovery by drawing accurate and interpretable inferences and predictions from high-dimensional and big data. Please see here for an updated list of publications.
You can learn more about me and my work at my website.