ABOUT

I am a graduate student at MIT working with Tommi Jaakkola and Pulkit Agrawal. Before MIT, I obtained my B.S. from Cornell University (Summa Cum Laude).

My research aims to contribute ML generative modeling and simulation methodology to the study of natural science. Some ambitions include:

• Automated discovery of materials and drug.
• Quantum-accuracy simulation of large-scale molecular dynamics.

To move towards these ambitions, I investigate these topics:

• Generative models for inverse design of crystals and molecules.
• Learning to simulate complex dynamical systems.
• Coarse-graining and learning abstractions.

NEWS

• 22/06 We have released the code and dataset for Learning to simulate time-integrated coarse-grained MD. Join us July 5th 11am EST at the LoGaG reading group if you are interested in this work!
• 22/06 I am working at Microsoft Research during summer 2022 on ML material discovery.
• 22/04 New preprint: an end-to-end system for learning to simulate coarse-grained molecular dynamics, that runs several orders of magnitude faster than classical force fields!