I'm a second-year PhD student in Chemistry, supervised by Alán Aspuru-Guzik at the University of Toronto.

I am broadly interested in applying machine learning to accelerate discovery and understanding in chemistry. I work on geometric machine learning, molecular generative models, and Bayesian optimization for experiment planning.

I graduated from the University of Virginia in 2017 with degrees in chemical physics and computer science, where I also did research supervised by Kateri DuBay on self-assembly in oscillating environments.