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.
PhD in Artificial Intelligence, Current
University of Washington
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.