Lingjun Meng

I am a fourth-year PhD student in Operations Research at Imperial Business School, advised by Prof. Wolfram Wiesemann and Prof. Ryan Cory-Wright. My research focuses on data-driven decision-making under uncertainty, in particular modeling, tractable approximations and algorithms for distributionally robust optimization, with applications in supply chain, service and sustainable operations. Before joining Imperial, I obtained my Master’s degree from EPFL, Switzerland, in 2023, and my Bachelor’s degree from Xi’an Jiaotong University, China, in 2020. Besides, I spent 6 months as a research intern at Logitech Europe S.A.

Working Papers

• L. Meng, R. Cory-Wright, W. Wiesemann, A Shrinkage Path Heuristic for Wasserstein Distributionally Robust Optimization. Submitted, 2026. [arXiv] [Optimization Online] [GitHub Repo] Presented at 2025 INFORMS Annual Meeting, Atlanta, USA; 2026 INFORMS Annual Meeting, San Francisco, USA.

Publications

• L. Meng, J. Coldenhoff, et al., On Real-Time Multi-Stage Speech Enhancement Systems. ICASSP 2024. [paper] [website]

Teaching

• Maths and Statistics Foundations for Analytics (MSc Business Analytics, 2024 Fall, 2025 Fall, 2026 Fall)