I am a postdoc working with Prof. Yee Whye Teh at Oxford. My current focus is on studying the fundamentals and reliability of modern AI systems (GenAI / LLMs / Agents). Broadly, I am interested in ML foundations, uncertainty, reinforcement learning with focus on data efficiency and reliability. 

I obtained my PhD in Computer Science from University of Wisconsin-Madison, where I was advised by Prof. Frederic Sala and Prof. Ramya Korlakai Vinayak. Prior to that, I was at IBM Research, Bangalore and earned a master's in CS from IISc, Bangalore, where I worked with Prof. Chiranjib Bhattacharyya.

Statistical Inference (Conformal, Anytime-validity, etc.)

Language Models (Reliability and data-efficient fine-tuning)

Data-efficient learning (Active learning, Semi-supervised learning, Weak supervision)

Learning theory (Generalization theory)

AI for Science