CV

Education

• B.Eng. in Intelligent Medical Engineering, Southern University of Science and Technology (SUSTech), Sep. 2022 – Present
  • Cumulative GPA: 3.93/4.00 (Rank: 1/41)
  • Selected Coursework: Probability Theory and Mathematical Statistics (97), Machine Learning and Applications in Medical Engineering (99), Data Structures and Algorithm Analysis (94), Neural Engineering and Brain–Computer Interface (97)
  • Supervisor: Dr.Quanying Liu
• Summer Workshop in Computer Science, National University of Singapore (NUS), Jun. 2024 – Jul. 2024
  • Core Course: Deep Learning & Robotics
  • Supervisor: Dr.Colin Tan

Awards

• Second Prize, Natural Science Paper, 19th “Challenge Cup” Guangdong College Student Science Competition (2025)
• Honorary Title of “Outstanding Student” (2024)
• SUSTech Scholarship for Outstanding Students (2022–2023, 2023–2024)

Skills

• Programming: Python, Matlab, Java
• ML/DL Frameworks: Scikit-learn, PyTorch
• Signal Analysis: MNE, Nilearn (EEG & fMRI)
• Operating Systems: Linux
• Languages: English – CET-6 (619), TOEFL (108)
• Academic Writing: LaTeX

Research Interests

• Early prediction of diseases with AI models
• Alignment between AI and brain representations
• Deep learning for neuroscience and brain-inspired AI
• Anything that is interesting enough to attract me 😊