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-supervision, with applications to education and sustainability.
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-supervision, with applications in education and sustainability.
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 (paper) 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.
- Recent work (paper) on using generative models to grade student work was accepted to EDM 2021.
- Two papers (link, link) on contrastive representation learning were accepted to ICLR 2021.
- Joined as a Pear VC Fellow (2020) and an IDEO Colab Fellow (2019).
- Excited to be supported by Stanford Interdisciplinary Graduate Fellowship as the Karr Family Fellow (2020).
- Received recent best paper awards from EDM 2020 [paper] and AAAI 2019 [paper].