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 (LCDS). I 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.

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)