Guanyi Wang

[May/2025] Postdoctoral Researcher (Optimization: Mixed-Integer Programming) at NUS:

We have a "1 + 1"-year fully funded Postdoctoral Researcher (Research Fellow) Position in the Department of ISEM at NUS, with an earliest starting date at Fall 2025. We are looking for self-motivated postdoctoral researcher with a Ph.D. degree in Optimization, Operations Research or related fields. The postdoctoral researcher will be involved in designing novel mixed-integer programming (MIP) algorithms, deriving theoretical results, and implementing numerical simulations under the supervision of Dr. Guanyi Wang. In particular, research directions include, but are not limited to, the following aspects:

1. Provable relaxations and algorithms for (large-scale) decision-making problems under uncertainty, and related applications on operations research and operations management.

2. Approximation algorithms for learning with geometric structures (e.g. structured sparsity) in high dimensions, and their applications in combinatorics, signal process, and data analytics.

3. Machine learning or reinforcement learning based preconditioning, branching, and column/row generation methods for computationally hard mixed-integer programming. 

If you are interested in working with us as a postdoctoral researcher (Research Fellow), consider sending your latest CV, research statement, and research plan to guanyi.w@nus.edu.sg with the title ``Application for Fall 2025 Postdoctoral Researcher (Research Fellow) Position''. Review or interview of applicants will begin as soon as possible and will continue until the position is filled. 

Dr. Guanyi Wang (王冠一) is an assistant professor at the Department of Industrial Systems Engineering and Management, National University of Singapore. Before joining the NUS, he was a postdoctoral researcher at Polytechnique Montréal, under the supervision of Dr. Andrea Lodi from July 2021 to Jun 2022. Guanyi Wang received his Ph.D. degree in Algorithms, Combinatorics and Optimization (ACO) from the Milton Stewart School of Industrial and Systems Engineering (ISyE) at Georgia Institute of Technology, in May 2021, advised by Dr. Santanu S. Dey. Before joining Georgia Tech, Guanyi Wang received a Master's degree in Applied Mathematics and Statistics from the Department of Applied Mathematics and Statistics at Johns Hopkins University, advised by Dr. Amitabh Basu, and a Bachelor's degree in Mathematics from the University of Science and Technology Beijing. 

My research interests broadly lie in the field of Mixed-Integer Programming (MIP), with a focus on the following three categories: 

1. Provable reformulations, convexifications, and relaxations for (large-scale) decision-making problems (in MIP format);

2. Computationally efficient preconditioning methodologies for MIP solvers;

3. Approximation algorithms for problems arising in operations research, operations management, and statistical learning, particularly those with geometric or discrete structures. 

• Renyuan Li -- Ph.D. Student, ISEM, NUS (2023.8--Present)

• Haozhe Tan -- Ph.D. Student, ISEM, NUS (2023.8--Present)