I am currently a PhD student at the University of Washington, advised by Su In Lee. I am interested in developing methods to make machine learning models more interpretable, and applying such methods to understand biological and health data.
My previous research includes developing novel architectures for convolutional neural networks applied to structural brain images and approximation algorithms for NP-hard scheduling problems.
PhD Student, Current
University of Washington
B.E in Computer Science Engineering, 2017
University of Michigan