I am currently an engineer at Google Research in Mountain View, where my research spans a broad spectrum of topics, including (1) interpretable machine learning, (2) reliable learning, (3) uncertainty estimation, (4) generative language modeling, and (5) general-purpose learning mechanisms. I am particularly grounded in the natural language domain these days, whose data richness provides an effective test bed for validating new ideas and enables learning about the world.

Previously, I built out machine-learned recommender systems at Twitter, where I was responsible for a significant growth in the platform's active user base during my time there.