Hello!
I am a Research Fellow at the Simons Foundation working with Polymathic AI. I recently graduated with a PhD from the Machine Learning Department at Carnegie Mellon University, co-advised by Andrej Risteski and Zachary Lipton. Previously, I was a masters student in the Robotics Institute at CMU and was a Siebel Scholar.
I work on the empirical and theoretical foundations of machine learning and its applications to scientific domains. My current interests are around generative modeling of scientific phenomena, inverse problems, and building scientific agents.
During my PhD, I had the pleasure to intern at Microsoft Research, New England in 2024 with David Alvarez-Melis, Lester Mackey, and Nicolo Fusi. Furthermore, I interned with the Blueshift team at Google in 2022 with Jascha Sohl-Dickstein, Guy Gur-Ari, Behnam Neyshabur, and Yasaman Bahri, where I worked on understanding generalization capabilities of LLMs.
You can find my CV here.