I'm a first-year Computer Science Ph.D. student at Columbia University in New York City, where I'm advised by Prof. Suman Jana.

My research broadly spans topics in machine learning and formal methods. My goal is to ensure reasoning in AI systems is reliably accurate, efficient and adaptive. Specifically, I'm interested in:
  1. Correctness and efficiency of LLM reasoning;
  2. Verifiability and safety of model behaviors.

If you believe I can help you in any way or you'd just like to chat, message me at: nihal.jain@columbia.edu.

I'm also available at the following channels: