I am a Ph.D. student in the Cryptoeconomics Lab at UMass Amherst, where I work with Prof. Brian Levine, and co-affiliated with the Autonomous Learning Lab.
I am in the intersection of a few different areas: networking, security and reinforcement learning. I work on
quantifying and improving the performance of blockchain systems, and study whether reinforcement learning is subject to data
corruption attacks, i.e., when data is noisy or has been adversarially altered. Here is a copy of my CV.