About Me

I am a DSI research fellow at Columbia University, advised by David Blei and Kathleen Mckeown, where I work on diffusion models, rare-event estimation for generative models, and applications of machine learning in healthcare.

Previously, I did my Ph.D. in computer science at NYU Courant Institute of Mathematical Sciences, advised by Rajesh Ranganath and Sumit Chopra and part of the CILVR group. Before that I studied mathematics at Courant, advised by Lai-Sang Young and Yuri Bakhtin.

You can find my CV here.

Check out my recent work, where we show how inference-time scaling and steering diffusion models can improve performance more than fine-tuning and even gradient-based guidance. Detailed blog post coming soon! A General Framework for Inference-time Scaling and Steering of Diffusion Models