I am currently an M2 at the Yale School of Medicine. I work with Harlan Krumholz to understand and investigate health disparities using outcomes data. I am interested in digital health, precision medicine, early detection and monitoring of disease (specifically cancer), and building technology-driven solutions to deliver better healthcare experiences.
I worked at Delfi Diagnostics as a data scientist to develop new approaches for detecting cancer early and monitoring response to treatment using cell-free DNA fragmentation patterns. Previously, I received a BS in applied math and statistics at Johns Hopkins focusing on statistical learning. At JHU, I worked with Victor Velculescu and Rob Scharpf on methods for detecting cancer early using liquid biopsies and understanding the biological origins of cell-free DNA. I also spent time at IBM Research with Gustavo Stolovitzky developing ensemble learning algorithms based on the Fermi-Dirac distribution and a model for identifying syngergistic drug combinations.