I work on machine learning at Divergence Labs. I'm interested in amortizing massively parallel experimental output into useful computational pipelines for protein design and drug discovery.

I was previously a machine learning engineer at D.E. Shaw Research, where I worked on protein-ligand cofolding. Before that, I completed my M.Eng. at MIT CSAIL, working with Bowen Jing and Peter Holderrieth, and supervised by Tommi Jaakkola, and before that I completed an S.B. in mathematics and in computer science at MIT. If you're a generative modeling enjoyer, please check out our class on flow-based generative modeling :)

I like to dance, cook, bike, read, and follow construction projects in New York and Greater Boston.