About Me

I'm a computer science PhD student at Harvard University working with Kianté Brantley. I'm broadly interested in the intersection of generative modeling and reinforcement learning, and in how we can design RL algorithms to more efficiently or effectively optimize pretrained generative models for difficult tasks.

Prior to starting my PhD, I worked as a software engineer in the Debora Marks Lab at Harvard Medical School, applying machine learning methods to problems in biological sequence modeling. Before that, I received my master's in computer science from the University of Oxford, and prior to that (a while ago now) I studied computer science and political science at Brown University.

Funding

I'm supported by a Kempner Graduate Fellowship.

Publications

You can find my publications on Google Scholar.