About

I am a Schmidt AI post-doctoral fellow at University of Michigan - Ann Arbor. I am working with Professors Jonathan Terhorst and Gideon Bradburd. We are improving haplotype phasing and genealogy inference with deep learning. I am also proposing and studying estimators for infection rates.

I develop statistical methods that make use of genomic and health data to study evolutionary processes. I am passionate about solving hard data problems in creative ways. I strive for reproducible experiments, well-documented software, efficient computation, and interpretable modeling.

I completed a PhD degree in Statistics at University of Washington - Seattle. I was advised by Professors Sharon Browning and Elizabeth Thompson. I pioneered several methods to study recent natural selection, spearheaded multiple consortium data analyses, and proved some central limit theorems.

I earned a BS degree in Mathematics (summa cum laude) at University of Oregon.