Teaching and Training

Teaching

Introduction to Optimization (BSc course), yearly in Block Ia (September-November)

Iterative Algorithms (MSc course), yearly in Block Ib (November-January)

Convex Analysis (MSc course), every other year in Block IIa (February-April)

Evolution Equations (MSc course), every other year in Block IIa (February-April)

Current Team

✏ Siqi Qi (PhD), Equilibrium seeking from the lens of dynamical systems theory, University of Groningen and University of Mannheim, co-supervised with Mathias Staudigl

✏ Lucas Ketels (PhD), Theorethical guarantees for large neural networks, University of Groningen and Université Paris Cité, co-supervised with Guillaume Garrigos

✏ Huiyuan Guo (PhD), Asymptotic behavior of dynamical systems and applications in optimization, University of Groningen

✏ Zepeng Wang (PhD), Accelerated optimization algorithms, University of Groningen

✏ Timo Hilverts (MSc), Network pricing problem, University of Groningen

✏ Lorenzo Zambelli (MSc internship), Top Dutch solar racing, University of Groningen

Master's and PhD theses

🎓 Filip Voronine (MSc 2025), Overdamped limits of the Vlasov-Poisson-Fokker-Planck equation in three dimensions, University of Groningen. Currently a PhD student at Delft University of Technology under the supervision of Richard C. Kraaij.

🎓 Daniel Cortild (MSc 2025), New tight bounds for SGD: A computer-aided Lyapunov analysis, University of Groningen. Currently a PhD student at the University of Oxford under the supervision of Coralia Cartis.

🎓 Juan José Maulén (PhD 2023), Acceleration of optimization algorithms, University of Groningen and Universidad de Chile. Now, he has a FONDECYT postdoctoral fellowship at CMM.

🎓 Andrés Contreras (PhD 2020), Differential inclusions and optimization algorithms of forward-backward type, Universidad de Chile. He worked as a postdoctoral researcher at CentraleSupélec-INRIA project OPIS. After some time as an Assistant Professor at Universidad Católica de Temuco, Andrés moved to the private sector.

🎓 Cesare Molinari (PhD 2017), Optimization in Hilbert spaces: asymmetric splitting methods in convex programming and one-shot algorithms for optimal control of PDEs, Universidad Técnica Federico Santa María. After working as a postdoctoral researcher at GREYC - ENSICAEN and Istituto Italiano di Tecnologia, he is now an assistant professor at Università di Genova (MaLGa Research Center).

🎓 Guillaume Garrigos (PhD 2015), Descent dynamical systems and algorithms for tame optimization and multi-objective problems, Université de Montpellier and Universidad Técnica Federico Santa María, co-supervised with Hédy Attouch. After holding postdoctoral positions at Istituto Italiano di Tecnologia and École Normale Supérieure, he was appointed assistant professor at Université Paris Cité (former Paris 7), Laboratoire de Probabilités, Statistique et Modélisation (LPSM, UMR 8001).

Bachelor's Projects in (Applied) Mathematics, University of Groningen

🎓 Margherita Bonan (2025), An investigation of gradient leakage attacks in distributed learning.

🎓 Thomas Zwartveld (2025), The firebreak allocation problem: minimizing wildfire damage to nature.

🎓 Anna van Gaal (2025), The bi-objective Dutch diet problem: minimizing price and greenhouse gas emissions.

🎓 Álvaro Arroyo-Roncero (2025), When more is less: Braess’s Paradox in static, nonatomic routing games.

🎓 Roberto Schininá (2024), An integer programming model for timetabling at the University of Groningen.

🎓 Laurens Nieuwenhout (2024), Liquid Democracy: A comparison of delegation mechanisms in a misinformed and communicative world.

🎓 Remco de Jong (2023), Equilibria in network congestion games.

🎓 Radovan Rusnak (2023), Exploring proximal and level bundle methods for regularized support vector machines.

🎓 Mary Wasiliew (2023), Signal separation of dual tracer PET scans.

🎓 Siddhanta Mishra (2023), The effect of change in temperature and rainfall upon the spread of malaria.

🎓 Daniel Cortild (2023), Perturbed inertial Krasnoselskii-Mann iterations.

🎓 Nina Serdar (2023), Modelling ways to improve hospitals’ efficiency.

🎓 Robin Bulsink (2022), The behaviour of the Stochastic Gradient Algorithm in the strongly convex setting.

🎓 Job Witte (2022), Predicting no-show in medical appointments using logistic regression.

Master's theses up to 2021 (in Chile)

🎓 Rolando Rogers (2021), Universidad de Chile.

🎓 Joel Fierro (2021), Universidad de Chile.

🎓 Rodrigo Maulén (2021), Universidad de Chile.

🎓 Jorge Sepúlveda (2021), Universidad de Chile.

🎓 Rodrigo Bravo (2020), Universidad de Chile.

🎓 Francisco Benavides (2019), Universidad Técnica Federico Santa María.

🎓 Rubén Astudillo (2019), Universidad Técnica Federico Santa María.

🎓 Cesare Molinari (2017), Universidad Técnica Federico Santa María.

🎓 Fernando Roldán (2017), Universidad Técnica Federico Santa María.

🎓 Enrique Jélvez (2017), Universidad Técnica Federico Santa María.

🎓 Omar Risco (2011), Universidad Técnica Federico Santa María.

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