Mike Wu
me[at]mikehwu.com
Google Scholar | Github
LinkedIn | @mike_h_wu

These days, I'm building something new in DeFi. More details to come!


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!


Mike Wu
me[at]mikehwu.com
Google Scholar | Github
LinkedIn | @mike_h_wu

These days, I'm building something new in DeFi. More details to come!


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!