Christopher Hojny

Christopher Hojny is an Assistant Professor at the Department of Mathematics and Computer Science at Eindhoven University of Technology, specializing in combinatorial optimization. He contributes to the EAISI Foundational group and co-develops the academic solver SCIP.

His research focuses on symmetry handling in mixed-integer programming, theoretical properties of integer programs, and algorithm development for combinatorial optimization. Recent work explores applications in graph neural network verification, clustering problems, and network coding through mixed-integer programming frameworks.

Key publication trends show expertise in

• Symmetry detection and mitigation techniques
• Relaxation complexity theory
• Applications to machine learning robustness
• Decision diagram-based scheduling

Scientific contributions include

• Proof systems for symmetry certification
• Topological bounds tightening in GNNs
• Stable set problem symmetry handling
• SCIP solver extensions

He supervises PhD students Cédric Roy (NWO project on Local Symmetries) and Sten Wessel (co-supervised with Frits Spieksma), while Jasper van Doornmalen (2019-2023) investigated symmetry propagation algorithms.