I was previously building Eclipse: Ethereum's fastest Layer 2, powered by the Solana Virtual Machine. Prior to that, I was a quantitative researcher at Citadel in the commodities group. I graduated from UC Berkeley with a triple major in computer science, mathematics, and business administration in May 2019.
My research projects focused on type systems, differential privacy, and highly-scalable machine learning systems.
Selected Research
PrivGuard: I worked with Prof. Joseph Near and Prof. Dawn Song to define a type system capable of automatically enforcing popular privacy and security regulations, including GDPR and HIPAA.
2022
Duet: This is a type system that allows developers to check their code for differential privacy, statically and automatically. I used dedicated hardware (Intel SGX) and machine learning algorithms to build privacy-preserving services.
2019
Selected Projects
Intro to power pricing: I write technical blog posts in my free time. In this post, I explain the basics of the electricity market. This article reached the top of Hacker News.
2022
Cirrus: I worked with Prof. Randy Katz in the UC Berkeley RISELab to build a highly-scalable machine learning framework that runs in a serverless environment using AWS Lambda.
