Mike Wu
me[at]mikehwu.com
Publications | CV | Github
LinkedIn | @mike_h_wu

I'm a final year PhD student in Computer Science at Stanford University advised by Noah Goodman. My research is in generative models and self-supervised learning. I'm also interested in ML applications to web3.


I did my undergrad in CS at Yale where I worked on astrostatistics and started YHack, one of the largest collegiate hackathons. Then, I took a year off before starting graduate school, where I worked in the AML team at Facebook Research.


Mike Wu
me[at]mikehwu.com
Publications | CV | Github
LinkedIn | @mike_h_wu

I'm a final year PhD student in Computer Science at Stanford University advised by Noah Goodman. My research is in generative models and self-supervised learning. I'm also interested in ML applications to web3.


I did my undergrad in CS at Yale where I worked on astrostatistics and started YHack, one of the largest collegiate hackathons. Then, I took a year off before starting graduate school, where I worked in the AML team at Facebook Research.

Recent News

  • Hot off the press! New paper on approximate probabilistic inference as masked language modeling. Check out transformers being Bayesian.
  • Paper on a new DeFi automated market maker using a constant power root invariant. Check out the tl;dr here.