About

I am a postdoctoral research fellow at University of Michigan - Ann Arbor. There, I proposed an estimator for infection rates with some calibration data, and I am comparing its performance to existing methods. Overall, I develop statistical methods that make use of biological and environmental data to study spatial and evolutionary processes. I strive for reproducible experiments, well-documented software, efficient computation, and interpretable modeling.

I am currently mentored by Professors Jonathan Terhorst and Gideon Bradburd and funded by the Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship. I completed a PhD degree in Statistics at University of Washington - Seattle, advised by Professors Sharon Browning and Elizabeth Thompson. There, I pioneered several methods to study recent natural selection and spearheaded multiple consortium data analyses. I earned a BS degree in Mathematics (summa cum laude) at University of Oregon.

Three representative publications

• Hypothesis testing paper
• Statistical inference paper
• Statistical theory paper