Ph.D. in Artificial Intelligence
Hong Kong University of Science and Technology (Guangzhou)
Supervisor: Prof. Lionel Ni · GPA: 4.2/4.3
Curriculum vitae
Experience & education
Research in trustworthy AI and agentic systems, grounded in neural computation and high-performance computing.
Download full CV ↗Education
MPhil in Data Science and Analytics
Hong Kong University of Science and Technology
Supervisors: Prof. Qiong Luo and Prof. Yang Xiang · GPA: 3.7/4.3
BEng in Computer Science
Wuhan University of Technology
GPA: 88.6/100
Research experience
Harvard Medical School
Research Intern · Remote / Boston
Hypothesis ranking with human–LLM co-evaluation and wet-lab validation. Developing an OpenCode plugin with agents for hypothesis generation and an evaluation framework.
The University of Hong Kong · NLP Lab
Research Assistant · Hong Kong
Automatic agent swarms for future prediction. Designing agent generation and coordination, with an OpenCode plugin as the execution harness.
City University of Hong Kong
Research Assistant, Computational Linguistics · Hong Kong
Collected EEG and fMRI data and preprocessed fMRI with fMRIPrep and QSIPrep. Designed a multi-talker speech decoding workflow, achieving BLEU-1 scores of 21% under both single- and multi-talker conditions.
Hong Kong University of Science and Technology
GPU Radio Interferometric Imaging · Hong Kong
Implemented the non-uniform Fourier transform (NUFFT) in CUDA, parallelized gridding and degridding, and optimized memory access, throughput, and load balancing.
Industry experience
International Digital Economy Academy
Research Intern, AI Agents & Trustworthy AI · Shenzhen
Working on FlowHarm, a benchmark for safety in agentic workflow generation, and autonomous, self-refining workflows for real-world tasks. Proposed entity-based encrypted synthetic data for privacy-preserving continual LLM pretraining.
DJI
Research Intern, Autonomous Vehicle Perception · Shenzhen
Implemented GPU utilities in CUDA C for perception algorithms, collaborating with high-performance computing and perception teams. Applied the work to Kiwi vehicles.
Additional information
Technical skills
Python, C++, CUDA C, MPI, Linux, Git, multithreading, LaTeX, Solidity.
Languages
Mandarin Chinese (native), English (fluent).
Awards
- Hong Kong University of Science and Technology Scholarship
- Wuhan University of Technology Scholarship
Teaching & coursework
- Parallel Programming (Teaching Assistant)
- Advanced Algorithmic Techniques
- Computational Neuroscience (Summer School)
- Large Language Models: Theory and Practice