Experience

  1. Research Assistant

    Carnegie Mellon University
    • Developed SplaTraj, a novel framework for semantic camera trajectory generation
    • Created methods for photorealistic representation querying using language embeddings

  2. Research Intern

    Honda Research Institute
    • Developed obstacle-avoidance planning module in C++
    • Reduced collision rate in simulation from 30% to less than 3%
    • Implemented trajectory prediction modules

Education

  1. Ph.D. Biomedical Engineering, Robotics

    University of North Carolina - Chapel Hill (ongoing)

  2. M.S. Electrical & Computer Engineering

    University of Michigan

    Coursework:

    • Experimental Unmanned Robotics
    • Linear Systems
    • Machine Learning
    • Information Theory

  3. B.E. Electrical Engineering

    ShanghaiTech University
    Major GPA: 3.9/4.0 Rank: 2/66 Outstanding Graduate
Awards
Best Paper
IEEE Robotics and Automation Letters ∙ January 2022
Awarded for research on predicting sagittal-plane swing hip kinematics in response to trips