CV

Education

• BEng in Electrical and Electronic Engineering, University of Nottingham, Nottingham, United Kingdom, 2025–Present
• BEng in Electrical and Electronic Engineering, University of Nottingham Ningbo China, Ningbo, China, 2023–2025

Experience

• Research Assistant (Remote), Tsinghua University, Department of Automation, Beijing, China, Sep. 2025–Present
  • Supervisor: Prof. Keyou You
  • Developing a Deep Reinforcement Learning (DRL) framework for autonomous robotic harvesting (flower picking) in unstructured environments.
  • Developed manipulation policies for a Franka Panda in MuJoCo, focusing on robot interaction within spatial environments and generalization across simulated scenes.
  • Developed a custom 2-DOF robotic arm environment for sim-to-sim transfer research, revealing and systematically analyzing practical hardware bottlenecks in RL, particularly the severe vulnerabilities caused by the lack of MoCap modules.
• Visiting Undergraduate Student, Shenzhen Research Institute of Big Data, Shenzhen, China, Jun. 2025–Aug. 2025
  • Supervisor: Assoc. Prof. Ruoyu Sun
  • Surveyed LLM post-training paradigms; analyzed EntiGraph for synthetic continued pre-training (data synthesis) and the MoFo optimizer to mitigate forgetting in fine-tuning.
  • Deployed GPT-OSS locally to explore inference workflows and configuration of open-source LLMs.
• Research Assistant (Onsite & Remote), Xi’an Jiaotong University, Bioinspired Engineering & Biomechanics Center, Xi’an, China, Jul. 2024–Present
  • Supervisors: Prof. Feng Xu; Asst. Prof. Bin Li
  • Proposed and implemented a CUT-based virtual staining pipeline, demonstrating improvements over CycleGAN in structural and geometric consistency for visual structure modelling.
  • Conducted quantitative and qualitative evaluations on cellular morphology; manuscript writing is largely complete and submission is forthcoming.
  • Exploring preprocessing and image enhancement using generative models (e.g. Stable Diffusion, FLUX) for potential image quality and domain adaptation gains.
• Intern (Remote), University of Science and Technology of China, Hefei, China, May 2024–Jul. 2024
  • Supervisor: Prof. Wei Sun
  • Explored CNN models for computer vision classification tasks.
  • Implemented Deep Q-Network (DQN) methods to improve agent decision-making in gaming environments.
  • Utilized multimodal generative AI for vision understanding and retrieval.

Publications

• CUT-based virtual staining for cellular morphology and visual structure modelling, Xi’an Jiaotong University Bioinspired Engineering & Biomechanics Center
  • Manuscript writing is largely complete and submission is forthcoming.

Awards

• University Academic Excellence Scholarship Winner (Provost’s Scholarship), University of Nottingham Ningbo China, 2024–2025 and 2025–2026
• Nominee for Zhejiang Provincial Scholarship, University of Nottingham Ningbo China, 2024

Skills

• Languages & Tools: Python, C/C++, CMake, Git, Linux/Shell, Docker
• AI Engineering: PyTorch, Computer Vision, LLM Integration (APIs/Prompting), Applied Reinforcement Learning, NumPy, Pandas, Matplotlib, Scikit-learn, XGBoost
• Embedded & Robotics: STM32, ROS, Raspberry Pi, Arduino, LTspice, FPGA (Verilog), PID Control, Robotics Simulation (Isaac Sim / MuJoCo)