I am a Postdoctoral Researcher in Statistical and Population Genetics with Iain Mathieson at the Department of Genetics, where I also work with Bogdan Pasaniuc at the recently established Center for Computational Biomedicine. I earned my PhD in Statistics at UC Berkeley. I obtained my undergraduate degree in Mathematical and Computational Science (with Honors in Mathematical Biology) at Stanford. I am a science communication advocate, and I enjoy baking and cooking whenever time permits.
I develop and apply mathematical, computational and statistical methods to answer questions in genetics. Genetic risk predictors have enormous clinical potential, but their accuracy often breaks down across populations — a problem with both scientific and equity dimensions. I am interested in mechanistically understanding and improving the generalizability of gene-level and polygenic risk predictors across groups of individuals or larger and ancestrally diverse populations. I am also interested in mathematical problems and computational algorithms arising from analyses of high-dimensional genomic data.
During my PhD at UC Berkeley, I served as a teaching assistant for an introductory mathematical statistics course (undergraduate) and an upper-division/graduate introduction to time series analysis. I have mentored students on research and on the graduate school application process, and have served as an external examiner on a master’s thesis.
Genetics
Ann. Appl. Stat
eLife
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