Security &
Cryptography.

My research in Security and Cryptography looks at how secure systems fail, why they fail, and how attackers can sometimes be surprisingly creative about it. My work includes deep-learning-assisted side-channel attacks, cryptographic key recovery, blockchain security, and weaknesses in smart-contract randomness. In particular, I’m interested in combining machine learning with security analysis to uncover vulnerabilities that traditional methods may miss. The goal is not just to break things for fun, although that is occasionally part of the process, but to better understand how secure systems can be designed to survive smarter attacks.