Experience

Education

10/2025 – Present
University of Oxford Oxford, UK

D.Phil. in Engineering Science

Studying how autonomous agents can cooperate with previously unseen teammates, such as agents from other organisations or humans, without prior coordination.

Advisor: Prof. Nick Hawes · GOALS Group, Oxford Robotics Institute

  • Ad Hoc Teamwork
  • MARL
  • Game Theory
  • GNNs
09/2023 – 08/2025
The Hong Kong University of Science and Technology (Guangzhou) Guangzhou, China

M.Phil. in Robotics and Autonomous Systems

Interaction-aware prediction and decision-making for autonomous driving in dense, multi-agent traffic.

Advisor: Prof. Jun MA

  • Autonomous Driving
  • Deep RL
  • Trajectory Prediction
09/2018 – 06/2023
Harbin Institute of Technology (Shenzhen) Shenzhen, China

B.Eng. in Electronics and Information Engineering

Excellent Graduation Thesis · Outstanding Student 2020–2021

Research Experience

03/2025 – 08/2025
Sycamore Lab, EPFL Lausanne, Switzerland

Master's Thesis Research · NCCR Automation Fellow

Safe multi-agent reinforcement learning with chance-constrained guarantees, applied to fire rescue in dynamic hazardous environments.

Supervisor: Prof. Maryam Kamgarpour

  • Safe MARL
  • Chance Constraints
  • Fire Rescue
10/2022 – 06/2023
Robotics and Autonomous Systems Thrust, HKUST (Guangzhou) Guangzhou, China

Research Assistant

Game-theoretic driver modelling with level-k reasoning and attention-based deep Q-learning for urban driving.

Supervisor: Prof. Jun MA

  • Level-k Game Theory
  • Markov Games
  • Deep Q-Learning
06/2021 – 03/2022
AI & Robot Lab, Tsinghua Shenzhen International Graduate School Shenzhen, China

Undergraduate Research Assistant

Navigation of ground robots over extremely rough terrain, from SLAM and terrain mapping to motion planning.

Supervisor: Prof. Xueqian WANG

  • SLAM
  • NMPC
  • RRT*
  • Gaussian Processes