Sander Gribling

Sander Gribling is an Assistant Professor in the Department of Econometrics and Operations Research at Tilburg School of Economics and Management, Tilburg University. His research bridges convex optimization, quantum computing, and quantum information theory, with a focus on quantum algorithms for classical optimization problems, semidefinite and polynomial optimization, and quantum graph parameters.

• PhD in Optimization and Quantum Information, Tilburg University (2019)
• MSc and BSc in Applied Mathematics, TU Delft

His research interests include:

• Quantum algorithms for linear programming, semidefinite programming, and matrix scaling
• Polynomial and sum-of-squares optimization
• Quantum query complexity and the polynomial method
• Applications of optimization to quantum information and noncommutative graphs

His recent publications reveal a strong focus on quantum algorithms, theoretical foundations of optimization, and sampling methods. Key trends include the development of optimal quantum linear solvers, complexity analysis of the Lasserre hierarchy, and the interplay between Grothendieck inequalities and quantum query models.

Notable scientific roles:

• Associate Editor, INFORMS Journal on Computing

Sander Gribling has advised or collaborated with numerous researchers including Simon Apers, Joran van Apeldoorn, Monique Laurent, and Ronald de Wolf. He has received no explicitly listed awards in the provided text, but his publications in high-impact journals such as Nature Reviews Physics and Quantum indicate strong recognition. He is involved in the Operations Research research group and contributes to advancing theoretical and applied quantum optimization.