Previously, I used machine learning to predict hospital readmissions at Berkshire Medical Center and built computer vision systems to automatically augment videos at the Institute for Pure and Applied Mathematics. My current work focuses on modeling disease progression for the Collaborative Trajectory Analysis Project (cTAP) and building generalizable R Shiny apps for modeling the cost-effectiveness of drugs.
In my free time, I enjoy biking around Boston, listening to podcasts, quilting, and (occasionally) scuba diving.
News: I will be joining the EECS PhD program at MIT in September 2020!
BA in Mathematics, 2018