I'm a PhD candidate in the Department of Statistics and Data Science at Northwestern University, where I am advised by Hongmei Jiang and Matey Neykov. We work on methods for estimating dynamic co-expression networks for longitudinal -omics data and robust covariance estimation. I'm also interested in tree and network analysis more generally, as well as longitudinal study results. I love to collaborate with scientists on applied projects — if you have a project that could benefit from statistical expertise, I'd love to chat.

I earned my M.S. in statistics at the University of Wisconsin–Madison, where I had the opportunity to work with Claudia Solís-Lemus on Bayesian approaches to network regression with applications to networks generated from microbiome phylogenetic distances.

I grew up in Michigan and earned my B.S. in Computer Science from the University of Michigan in 2018. Before I started graduate school I worked as a software developer at a large electronic medical records company doing application development for laboratories.

I also like data visualization, and niche application development. In my free time I like to bike, play softball, and take pictures of birds.