I completed my PhD at Johns Hopkins University under the wonderful supervision of both Matthew Green and Abhishek Jain. One of the key focuses of my dissertation work was the security and construction of efficient SNARKs and proof systems, particularly those involving error-correcting codes. I was a recipient of an EF academic grant that funded our work on SNARK security.

I co-founded Eternis where we’re building privacy-preserving personal AI and more. Due to this, my recent research focus has shifted to understanding and improving LLMs, particularly using reinforcement learning and other LLM post-training techniques. First in this line of work is this paper on annotation-efficient GRPO post-training.