About me
I am a Ph.D. student in Machine Learning at the Georgia Institute of Technology, advised by Prof. Pascal Van Hentenryck. My research focuses on machine learning and its integration with optimization. I have made several attempts in applying these methods to large-scale transportation systems, wireless communications, and robust decision-making under uncertainty. In addition, I explore the reasoning capabilities of large language models and investigate reinforcement learning approaches for multi-agent systems.
Background
Before beginning my Ph.D., I earned a Master's degree in Operations Research from the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) at Georgia Tech, and a Bachelor's degree in Data Science from The Chinese University of Hong Kong, Shenzhen.
I have been fortunate to collaborate with Prof. Xin Chen during my master's studies, as well as Prof. Xinyun Chen and Prof. Pengyi Shi during my undergraduate studies.
News
Selected publications
Full list (8)Publications
Journal articles, conference papers and preprints, newest first.
Curriculum vitae
A short summary of education, experience and awards. The full CV is available as a PDF.
Education
- 2024 —
- Ph.D., Machine LearningGeorgia Institute of Technology — advised by Prof. Pascal Van Hentenryck
- 2022 — 2023
- M.S., Operations ResearchH. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology
- 2018 — 2022
- B.S., Statistics (Data Science)The Chinese University of Hong Kong, Shenzhen
Experience
- 2026
- Applied Scientist InternAmazon, Seattle, WAGenerative foundation models and AI-agent systems for product substitution
- 2024 —
- Graduate Research AssistantNSF AI Institute for Advances in Optimization (AI4OPT), Georgia Institute of TechnologyML-integrated optimization, large language models, and time-series forecasting
- 2023
- Research InternS.F. Express Co., Ltd., ShenzhenGraph neural networks and optimization for vehicle and inventory routing
- 2021 — 2022
- Research InternParametrix Technology Co., Ltd., ShenzhenMulti-agent reinforcement learning and knowledge distillation
Awards
- 2025
- Honorary Mention, M&SOM Practice-Based Research CompetitionINFORMS Manufacturing & Service Operations Management Society
- 2025
- ICDM Student Travel AwardIEEE International Conference on Data Mining
- 2021, 2022
- Undergraduate Research AwardThe Chinese University of Hong Kong, Shenzhen
- 2020, 2021
- Academic Achievement ScholarshipThe Chinese University of Hong Kong, Shenzhen