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Education

  • Ph.D. in Computer Science
    University of Utah
    • Dissertation: Efficient Probabilistic Learning and Optimization for Physical Simulations
    • Advised by Shandian Zhe.
  • M.S. in Mechanical Engineering
    University of Pittsburgh
  • B.E. in Mechatronics Engineering
    South China University of Technology, Guangzhou, China

Experience

  • 2022
    Applied Scientist Intern
    • Amazon.com Inc.
  • 2021
    Applied Scientist Intern
    • Amazon.com Inc.
  • 2018
    Robotics Research Intern
    • Schlumberger-Doll Research

Teaching

  • Fall 2021
    Teaching Assistant
    CS6350: Machine Learning, University of Utah
  • Spring 2021
    Teaching Assistant
    CS6350: Machine Learning, University of Utah

Professional Services

  • Journal Reviewer
    • Journal of Computational Physics (JCP)
    • Scientific Report
    • Neural Networks (NEUNET)
  • Conference Reviewer/ Program Committee
    • NeurIPS 2022, 2023, 2024
    • ICML 2022, 2023, 2024
    • AISTATS 2021, 2022, 2023, 2024
    • UAI 2022, 2023, 2024
    • ICLR 2024
    • AAAI 2020, 2025
    • L4DC 2024