I am a master's student in the Machine Learning Department at Carnegie Mellon University, working on diffusion-based generative models across language and control. I am currently advised by Prof. Aditi Raghunathan on understanding decoding stability in Diffusion Language Models, and by Prof. Max Simchowitz on developing reliable finetuning methods for diffusion and flow-based policies in robotic manipulation. My research focuses on how diffusion models can maintain joint consistency, stability, and expressiveness under high parallelism or long horizons, with the broader goal of building diffusion as a unified modeling framework for structured generation and decision-making.
Before CMU, I studied Computer Science at IIT Bombay. Outside research, I enjoy reading, movies, and exploring good food.