Mike Wu
me[at]mikehwu.com
Publications | CV | Github
I'm a fourth 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 industry 4.0.
I did my undergrad in Computer Science at Yale ('16) 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. I also helped found a startup building a probabilistic programming language in spreadsheets like Excel.
Mike Wu
me[at]mikehwu.com
Publications | CV | Github
I'm a fourth 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 industry 4.0.
I did my undergrad in Computer Science at Yale ('16) 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. I also helped found a startup building a probabilistic programming language in spreadsheets like Excel.
Recent News
- New paper (link) on using generative models to grade student work was accepted to EDM 2021.
- Two new 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].