I am a Postdoctoral Associate in Department of Genetics at the Yale School of Medicine. My research, advised by Prof. Smita Krishnaswamy
focuses on the development of novel methods, based on Machine Learning and Computational Topology, to address a variety of problems in biomedical research and representation learning. I received a Ph.D. in Biomedical Engineering and Sc.M. in Data Science from Brown University, where I worked in Prof. Ian Wong's lab
on data-driven modeling and analysis of collective cell behavior in the course of tumorigenesis. Prior to Brown, I received training in Computer Science and Applied Mathematics (advised by Prof. Leah Edelstein-Keshet) at the University of British Columbia.