Peiyuan Liao
廖培元

Boogiepop

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.

Research

I'm mainly interested in the following topics: 2

  • Machine Learning Systems
  • Representation Learning
  • Federated Learning
  • 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.

    Currently

    I'm currently working at a stealth-mode startup in LA as a machine learning engineer. I plan to also join rct studio as a software engineer intern starting February.

    I'm also helping out with an tech entrepreneurship community based in Beijing. If you are a startup looking for talented undergrads to join your team, please send me an email!

    Reseach-wise, I'm currently working with Yao-Hung Hubert Tsai and Tianqin Li on contrastive learning at CMU MultiComp lab, supervised by Louis-Philippe Morency and Ruslan Salakhutdinov.

    Portfolio

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

    Codewars Profile


    Research

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    Projects

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    Academics

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    Professional

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    Skills

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    Honors

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    Miscellaneous

    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

    Contact

    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 iconhttps://orcid.org/0000-0002-4387-7940

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