Peiyuan Liao


Researcher, Programmer, Ponderer

I am an open-source enthusiast and currently a machine learning engineer at a startup. Recently, I am an undergraduate student at CMU School of Computer Science. My research focuses on topics that live at the intersection of machine learning and systems engineering.


I'm mainly interested in the following topics: 2

  • Machine Learning Systems
  • Representation Learning
  • Federated Learning
  • Compiler Middle-end
  • In the past, I've had the honor of working with Han Zhao and Keyulu Xu on graph neural networks, supervised by Stefanie Jegelka and Ruslan Salakhutdinov.


    I'm currently part of a stealth-mode startup in LA as a machine learning engineer. I'm also helping rct studio to create cool gaming AIs.

    If you don't know already, there is an awesome tech entrepreneurship community based in Beijing. If you are a startup looking for talented undergrads and graduates to join your team, please visit our site!

    Reseach-wise, I'm working with Byungsoo Jeon on backend-aware graph optimization at CMU Catalyst Group, supervised by Tianqi Chen and Zhihao Jia.


    I'm involved in several online, computer science-related communities, including Kaggle, Recurse Center and Codewars (real-time ranking below).

    Codewars Profile














    Public Appearances

  • Podcast about my Kaggle journey on Machine Learning Engineered
  • Interview with Analytics Vidhya
  • Personal Interests

  • Coldplay
  • Sakanaction
  • French/Japanese
  • Squash
  • Film Photography

  • Prague


    Regarding my researches, academic collaboration or Kaggle team-up:

    peiyuanl [at] cs [dot] cmu [dot] edu

    For Praxis-related inquiries:

    peiyuan [at] praxispioneering [dot] com

    Finally, anything else, like just making friends or talk about programming languages, machine learning (for fun), or what's it's like to be at recurse center:

    alexander [underscore] liao [at] outlook [dot] com

    Most of the public code I've written can be found under my GitHub account: @liaopeiyuan.

    Institutional Address

    Peiyuan Liao
    5032 Forbes Avenue
    SMC 4401
    Pittsburgh, PA 15289

    ORCID iD icon

    Want to become a better programmer? Join the Recurse Center!