About
I am a Florence Nightingale Bicentenary Fellow in Computational Statistics and Machine Learning at the University of Oxford, jointly affiliated with the Department of Statistics and the Leverhulme Centre for Demographic Science.
My research focuses on development of methods and applications of (primarily Bayesian) statistics to inform decision-making in the health and social sciences. I am interested in tackling problems in
- causal inference
- model selection and hypothesis testing
- nonparametric and high-dimensional statistics
- design and analysis of experiments
- modeling of complex data (e.g., hierarchical, spatiotemporal, mechanistic, and infectious disease models)
I recently completed a PhD in Statistics at the University of Washington, advised by Adrian E. Raftery and Carlos Cinelli. Prior to UW, I studied math and physics at the University of Cambridge and Northwestern University. I am originally from Chicago, Illinois.