Experience

Education (教育背景)

  • University of Toronto (Sept. 2022 – Present)

    • Ph.D. Candidate, Mechanical and Industrial Engineering (GPA: 4.00)

    • Core Courses: Reinforcement Learning, Imitation Learning, Control for Robotics, Game Theory.

       

  • Harbin Institute of Technology (Sept. 2016 – Aug. 2020)

    • B.Eng in Engineering Mechanics (Major GPA: 3.72)

    • Exchange: University of Washington (Aug. 2018)

Work Experience (工作经历)

  • Software Engineer @ Schlumberger (Beijing, China) | Aug. 2020 – July 2021

    • Developed automated testing pipelines using Maxwell data patterns.

    • Conducted ML-based infield case studies and streamlined bug detection via PCA-driven feature selection.

       

  • Mechanical Engineer Intern @ HRG Institute (Hefei, China) | Aug. 2019 – Sep. 2019

    • Led mechanical development for product functionality enhancement.

    • Designed detailed SOLIDWORKS models and authored patent documentation.

Scholarships & Awards

  • [2022 – Present] Mechanical and Industrial Engineering Fellowship (UofT)

  • [2025] APSC Graduate Scholarship Education Fellowship (UofT)

  • [2017, 2018, 2019] People’s Scholarship (HIT)

  • [2018] Outstanding League Member (HIT)

  • [2017] Outstanding Student (HIT)

Teaching Experience

  • MIE1075: AI Applications in Robotics

  • MIE567: Dynamic and Distributed Decision Making

  • MIE422: Automated Manufacturing

  • MIE364: Quality Control in Manufacturing
  • MIE342: Circuits Applications to ME Systems
  • MIE304: Intro to Quality Control

  • MIE236: Probability

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