Research

Research Interests

My research focuses on optimization methods and machine learning, with a particular emphasis on:

• Learning to Optimize: Developing machine learning approaches to improve optimization problem solving
• LLMs for Optimization: Investigating how large language models can enhance and solve complex optimization problems
• Reinforcement Learning: Exploring RL techniques to sequential decision-making problems (e.g. Combinatorial Optimization)

Current Projects

I am currently working with Prof. Tianshu Yu at the School of Data Science, The Chinese University of Hong Kong (Shenzhen) on several projects related to learning-based optimization methods.

Skills & Tools

• Programming Languages: Python, R, MATLAB
• Optimization Tools: CVXPY, Gurobi
• Machine Learning Frameworks: PyTorch, TensorFlow