Hi, I’m Zoe!

My research focuses on the application of statistics to problems in high-throughput biology. My main contributions have included novel methodology for processing and analyzing drug screening data from large-scale pharmacogenomic studies. In particular, these methods take into account the highly complex error structures of such data. I am also developing computationally efficient prediction algorithms for high-dimensional data that aim to make complex and iterative workflows feasible.

Currently, I am a sixth year PhD Candidate in the Department of Statistics at the University of Michigan. I am completing my dissertation research under the supervision of Johann Gagnon-Bartsch.