PhD student and Teaching Assistant at IRIF, in Université Paris-Cité. I am fortunate to have Claire Mathieu and Vincent Cohen-Addad as my advisors. My research interests include Optimization, Algorithms, and AI. I am currently working on approximation algorithms for clustering and online multi-level aggregation.

My resume.

Contact information:

Email: ernest(dot)vanwijland(at)irif(dot)fr

Publications (Google Scholar)

• A (4+ε)-Approximation for Euclidean k-Means via Non-Monotone Dual Fitting, Charikar, Cohen-Addad, Gao, Grandoni, Lee, Van Wijland, STOC 2026
• An Improved Greedy Approximation for (Metric) k-Means, Charikar, Cohen-Addad, Gao, Grandoni, Lee, Van Wijland, FOCS 2025
• Faster Approximation Scheme for Euclidean k-TSP, Van Wijland, Zhou, SOCG 2024
• Maximizing Nash Social Welfare in 2-Value Instances, Akrami, Chaudhury, Hoefer, Mehlhorn, Schmalhofer, Shahkarami, Varricchio, Vermande, Van Wijland, Mathematics of Operations Research 2023, AAAI 2022

Teaching

• Currently teaching assistant for the second year of Bachelor course "Programming Project" at Université Paris-Cité.
• Previously teaching assistant for the "Introduction to Python", "Algorithmics Concepts" and "Programming Project" courses.