About

I’m a Ph.D. student at MIT in the ClinicalML group advised by David Sontag. I’m currently working on self-supervised learning, learning from weak supervision, and applications of these techniques to clinical machine learning. My research has been funded by an NDSEG fellowship. Recently, I also received the OpenAI “Superalignment Fast” fellowship for graduate students.

For Summer 2024, I’m interning at FAIR with Asli Celikyilmaz. Before starting my PhD, I was an AI Resident at Microsoft Research AI in Redmond, where I worked primarily on stochastic optimization. Before that, I finished my M.Eng. at MIT with David Sontag, where we worked on approximate inference in graphical models with Aravindan Vijayaraghavan.

I went to MIT for undergrad, where I studied math and EECS, and I grew up in Phoenixville PA.