PhD Student at Duke University
I am a PhD student at Duke University, specializing in Computer Science. My research focuses on the security of blockchains in environments with strategic players. I develop innovative mechanisms for Decentralized Financial Applications (DeFi) to ensure that no participant has an incentive to deviate from prescribed actions. By applying game theory, I aim to establish robust equilibria that are resilient to malicious activities such as bribery and other strategic manipulations.
Beyond my academic pursuits, I am an avid fan of fantastical stories, enjoying books, TV shows, and anime. As an edgedancer, I deeply admire the Windrunners!
Previously, I worked at Samsung Research from 2019 to 2021, focusing on camera systems. In the summer of 2023, I interned at Flashbots Research, where I worked on Differentially Private MEV Share hints. I have authored several papers, which I will include here shortly.
My research is centered on enhancing the security of blockchain systems when faced with strategic players. I strive to create new mechanisms for DeFi applications, ensuring that participants adhere to the defined actions without incentives to deviate. Through a game theoretic lens, I analyze these mechanisms to establish stable equilibria that withstand malicious actions, including bribery and collusion.
Feel free to connect with me on Google Scholar.