I am a postdoctoral researcher at the California Institute of Technology (Caltech), working with David Van Valen and Yisong Yue. I am focused on applying and developing machine learning methods to analyze single-cell biology data. The overall goal is to create new tools to help characterize, diagnose, and treat cancer.

Before coming to Caltech, I received an Applied Physics Ph.D. from the University of Michigan - Ann Arbor. During my Ph.D. I worked as a data scientist at the Center for the Study of Complex Systems (CSCS), where I used mathematical models to study social systems. For my thesis work, I developed methods to help quantify the student experience. The question we set out to answer was, is there a better way to summarize a student's experience than the traditional transcript? We called this work "The Transcript of the Future." Scott E Page and Timothy McKay were my thesis advisors. I also worked closely with Rada Mihalcea and Abigail Z. Jacobs, who were both on my thesis committee.

In addition to my academic career, I have over a year of quantitative research experience within industry. I worked at Apple as a software engineer doing applied machine learning. I also worked at STR as a data scientist/software engineer, where I developed a novel simulation environment.