Mike Wu
me[at]mikehwu.com
Publications | CV | Github
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 ML applications to cryptography.
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
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 ML applications to cryptography.
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
- Built an analytics tool on Ethereum to access the anonymity of different wallets. Check out the whitepaper here. The product was featured in crypto@stanford.
- New paper (DecNN) on composing and constraining neural networks with decodable activations was accepted to NeurIPS 2021.
- Two short papers on contrastive learning were accepted to the NeurIPS SSL Workshop 2021.
- New method applying meta-learning to give feedback to student code was covered by the New York Times. The approach was used at Code in Place 2021 on 16,000 student solutions!