I am an Assistant Professor in the Computer Science Department at Carnegie Mellon University. I am also affiliated with the Machine Learning Department.
I aim to advance our scientific understanding of frontier models. I am particularly interested in uncovering the root causes of their failures and designing principled approaches to improve their reliability and safety.
I received my PhD from Stanford University in 2021 where I was fortunate to be advised by Percy Liang. My thesis won the Arthur Samuel Best Thesis award at Stanford. Previously, I obtained my BTech in Computer Science from IIT Madras in 2016.
My group's research is generously supported by Schmidt Sciences, Apple, Cisco, Google, OpenAI, NSF, and Open Philanthropy.
If you are a current CMU undergraduate or masters student interested in working with my group, please apply here .