Stream Organizers
- Approximation and Online Algorithms: Nicole Megow, Mohit Singh
- Combinatorial Optimization: Kristof Berci, Britta Peis
- Complementarity, Variational Inequalities and Variational Analysis: Tim Hoheisel, Guoyin Li
- Conic Programming: Etienne de Klerk, Levent Tuncel
- Constraint Programming: Willem van Hoeve, Louis-Martin Rousseau
- Contextual Optimization: Bart van Parys, Utsav Sadana
- Continuous Optimization with Machine Learning: Nicolas Loizou, Edouard Pauwels
- Derivative-free and Simulation-based Optimization: Ana Custodio, Sara Shashaani
- Discrete Optimization with Machine Learning: Thiago Serra, Neil Yorke-Smith
- Energy and Environment: Lars Schewe, Andy Sun
- Finance and Economics: Cagil Kocyigit, Napat Rujeerapaiboon
- Game Theory, Bi-level and Multi-Objective Optimization: Gabriele Eichfelder, Uday Shanbhag
- Global Optimization: Fatma Kılınç-Karzan, Alper Yıldırım
- Implementations and Software: Haihao Lu, Juan Pablo Vielma
- Integer and Mixed Integer Programming: Oktay Gunluk, Stefan Weltge
- Markov Decision Processes, Reinforcement Learning, and Simulation: George Lan, Enlu Zhou
- Mixed Integer Non-linear Programming: Andres Gomez, Jan Kronqvist
- Networks, Logistics and Transportation: Beste Basciftci, Cristiana L. Lara
- Nonlinear Optimization: Xin Liu, Shoham Sabach
- Nonsmooth Optimization: Ying Cui, Dmitriy Drusvyatskiy
- Optimal Control, PDE Constrained Optimization, and Multi-level Methods: Justin Sirignano, Thomas Surowiec
- Quantum Computing and Quantum Information: Giacomo Nannicini, Tamas Terlaky
- Random Methods for Continuous Optimization: Jelena Diakonikolas, Akiko Takeda
- Robust and Distributionally Robust Optimization: Karthik Natarajan, Wolfram Wiesemann
- Stochastic Optimization: Merve Bodur, Johannes Royset