Peiyuan Liao
廖培元

Boogiepop

Researcher, Programmer, Ruminator

I am an open-source enthusiast and currently a machine learning engineer at Praxis Pioneering. I am also working towards an undergraduate degree in computer science at Carnegie Mellon University. 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
  • Compiler Middle-end
  • Currently, I'm working with Byungsoo Jeon on backend-aware graph optimization at CMU Catalyst Group, supervised by Tianqi Chen and Zhihao Jia. 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.

    Portfolio

    I'm involved in several online, computer science-related communities, including Kaggle, Recurse Center, Lantern and Codewars:

    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

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

  • More of the photos I took like this, available on hic et nunc
  • Contact

    Regarding my researches, academic collaboration or Kaggle:

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

    For Praxis-related inquiries:

    peiyuan [at] praxispioneering [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!