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.
Outside of work I spend time playing piano, and occasionally attending my father’s talks.
PhD in Artificial Intelligence, Current
B.E. in Computer Science, 2017
University of Michigan
A GitHub package to explain not only which features are most important to a neural network prediction, but also how those features interact with each other.
A GitHub package to regularize a neural network’s feature attributions during training in order to encode human-level prior knowledge into the training process.