About

I am a PhD candidate in the Department of Statistics at the University of Washington, advised by Adrian E. Raftery and Carlos Cinelli. I am on the job market for the 2024-2025 academic year.

I am interested in developing Bayesian methods to tackle 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)

My work is often motivated by applications in the health and social sciences.

I am a recipient of UW Statistics' Z.W. Birnbaum Award and an NIH Data Science in Demography & Population Health Fellowship through the UW Center for Studies in Demography & Ecology (CSDE). I have conducted research stays at Laboratoire MAP5 of Université Paris Cité and the Laboratory of Digital and Computational Demography at the Max Planck Institute for Demographic Research in Rostock, Germany. Prior to UW, I studied math and physics at the University of Cambridge and Northwestern University. I am originally from Chicago, Illinois.

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