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Xiaoyu Xie

Research Scientist @ Meta | PhD @ Northwestern University

I am Xiaoyu Xie, a Research Scientist at Meta. I earned my Ph.D. in Mechanical Engineering from Northwestern University under the supervision of Prof. Wing Kam Liu. My research focuses on integrating physics and prior knowledge into machine learning to develop interpretable and scalable AI algorithms. I work on scientific knowledge discovery, reduced-order and surrogate modeling, multimodal learning and sensor fusion, as well as process monitoring and control for complex systems such as manufacturing, fluid mechanics, and ads ranking.

News

eBook: Hands-on Scientific Machine Learning

I created a online interactive eBook for Scientific machine learning. You can check the details on this website. Each hands-on tutorial includes code, visualization, and youtube video for paper and implementation. You can also directly run all toturials in Colab or your local computers. Please feel free to contact me if you want to collobrate in this book.

Research Interests:

  • Scientific machine learning, AI for science;
  • Data-driven reduced-order modeling;
  • Data-driven scientific discovery;
  • Computer vision, Multimodal learning

Education

  • Northwestern University, Evanston, IL, US
    • Ph.D. candidate in Mechanical Engineering, Sep. 2020 – Jun. 2025
    • Advisor: Prof. Wing Kam Liu
  • University of Chinese Academy of Sciences, Beijing, China
    • Inistitute of Mechanics
    • M.S. in General and Fundamental Mechanics, Sep. 2014 – Jul. 2017