Mike Wu
me[at]mikehwu.com
Publications | CV | Github
I'm a fifth year PhD student in Computer Science at Stanford University advised by Noah Goodman. I'm interested in generative models and self/weak/un-supervision.
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 at Facebook Research.
Mike Wu
me[at]mikehwu.com
Publications | CV | Github
I'm a fifth year PhD student in Computer Science at Stanford University advised by Noah Goodman. I'm interested in generative models and self/weak/un-supervision.
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 at Facebook Research.
Recent News
- 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! Check out our blog for more details.
- Two papers (ViewMaker, RingNCE) on contrastive representation learning were accepted to ICLR 2021.
- Joined as a Pear VC Fellow (2020).
- Excited to be supported by Stanford Interdisciplinary Graduate Fellowship as the Karr Family Fellow (2020).
- Received best paper awards from EDM'20 and AAAI'19.