I completed my B.S. and M.S. in Computer Science at Stanford University, specializing in Computational Biology and Artificial Intelligence. My collaborations included work with the Ji Research Group on a cancer variant calling software and the Dionne Group to enhance antibiotic susceptibility diagnosis.

Under the guidance of my advisor Benjamin Raphael, my research centers on unraveling genetic interactions that drive cancer through the development of statistical and graphical machine learning models. Furthermore, I am creating frameworks to capture the high-dimensional landscape of cancer mutations, with a focus on epistatic interactions.

I aspire to expand my expertise at the intersection of computational biology, statistics, and machine learning for the purpose of advancing precision medicine and the development of innovative and clinically applicable computational tools in biomedical research. Beyond academia, my interests include running, skiing, cooking, and spending quality time with my wife.