Experience
Work Experience
Research Scientist
Shenzhen Research Institute of Big Data
Department of Solver Development
June 2024 - Present
- Develop optimization solvers for large-scale combinatorial optimization problems
- Research on GPU-accelerated algorithms for stochastic programming
- Lead projects on reservoir optimization and MILP solver development
- Collaborate with industry partners on real-world optimization applications
Postdoctoral Fellow
Polytechnique Montréal
Department of Mathematics and Industrial Engineering
June 2023 - June 2024
- Conducted research on inventory routing problems and stochastic optimization
- Developed hybrid genetic search algorithms for large-scale vehicle routing problems
- Published research papers in top-tier journals
- Collaborated with Prof. Thibaut Vidal on advanced optimization techniques
Education
Doctor of Philosophy (Ph.D.)
National University of Singapore
Industrial and Systems Engineering
August 2019 - May 2023
- Dissertation: Advanced algorithms for time-dependent vehicle routing problems
- Advisor: [Prof. Yeow Meng Chee] & [Prof. Vincent Y. F. Tan]
- Research focus: Hybrid metaheuristics, dynamic programming, and machine learning for optimization
- Teaching Assistant for “Modeling for Supply Chain Systems” (2020-2022)
Key Achievements:
- Developed novel hybrid genetic search algorithms combining dynamic programming
- Published multiple papers in top-tier journals (EJOR, C&OR, TRC)
- Received Best Paper Award at CTS 2023
Bachelor of Computing
Northwestern Polytechnical University
Computer Science
2015 - 2019
- Comprehensive training in computer science fundamentals
- Strong background in algorithms, data structures, and programming
- Active participant in ACM-ICPC competitions
Key Achievements:
- Gold Medal in ACM-ICPC Asia Regional Contest (2017, Qingdao)
- Gold Medal in ACM-ICPC Asia Regional Contest (2017, Nanning)
- Silver Medal in ACM-ICPC Asia Regional Contest (2016, Qingdao)