These days, I'm building Pareto, a new DeFi protocol for on-chain derivatives.

I come from a AI/ML background, specializing in generative models and self-supervised learning. Before a PhD at Stanford, I worked in the Applied ML team at Meta. I did my undergrad in CS at Yale where I worked on astrostatistics and started YHack, one of the largest collegiate hackathons.

I got into crypto in Oct '21, where I built Tutela [whitepaper] [code] [summary] [press] [press], an anonymity tool for Tornado Cash that uses ML trained on a terabyte of Ethereum data to cluster together wallets likely owned by the same entity.

Afterwards, I got interested in DeFi, and designed a new automated market maker [whitepaper] [summary] [scrf] with a dynamic invariant to investigate new payoff functions for liquidity providers.

Now, I'm onto my next adventure in DeFi. If you are excited about the space as well, please reach out!