I am a machine learning researcher who does both core methodological work in ML and also pursues interdisciplinary research at the interface with other areas of science and engineering. I have broad interests on both the methods and applications side, but often pursue projects involving Bayesian methods, Monte Carlo, amortized optimization, and automatic differentiation.