The PhD alumni and their theses can be found here.
PhD students
PhD students
Contact details, research interests, supervisors. In alphabetical order by surname.
Lindsey van der Aalst
Dynamical systems, Computer assisted proofs, Supervisor: Jan Bouwe van den Berg

Nazanin Abedini
Data assimilation: shadowing, Kalman filter, Particle filter, Supervisor: Svetlana Dubinkina

Parissa Akefi
Early Automatic Detection of Discourse in Information Voids on Social Media, Supervisor: Sandjai Bhulai

Etienne van de Bijl
Machine learning in cybersecurity and social network analysis, Supervisors: Rob van der Mei and Sandjai Bhulai

Hanneke de Boer
Mathematical Network Analyses, Supervisors: Sandjai Bhulai, Rob van der Mei, Roy Lindelauf
Tim de Boer
Data-driven optimization for a vital elderly care system in The Netherlands (DOLCE VITA), Supervisors: Rob van der Mei, Sandjai Bhulai, Rene Bekker, Bianca Buurman-Van Es

Aafko Boonstra
Forensic probability and statistics, Supervisors: Ronald Meester, Klaas Slooten

Ronen Brilleslijper
Floer theory: covariant field theory, mirror symmetry, Supervisor: Oliver Fabert

Fabio Buccoliero
Geometric topology: Topological graphs, Supervisor: Senja Barthel

Samuel Castelo Mourelle
Algebraic topological methods for dynamical systems, Supervisor: Rob van der Vorst

Francesca Cavallini
Mathematical Neuroscience, Uncertainty Quantification, Supervisors: Daniele Avitabile and Svetlana Dubinkina

Alain Chavarri Villarello
Formalizing diophantine algorithms, Supervisor: Sander Dahmen

Riya Dogra
Geometric Topology : Knots, Braids and Topological graph theory, Supervisor: Senja Barthel

Dirk Doorakkers
Spatio-temporal canards and delayed bifurcations in continuous neurobiological networks, Supervisor: Daniele Avitabile

Jasper van Doorn
AI-Boosted Integrated Production and Transport Optimization, Supervisors: Rob van der Mei, Sandjai Bhulai, Joost Berkhout

Maarten Droste
Mathematical Biology: Control of maximal growth rate by single-celled organism, Supervisors: Bob Planqué, Joost Hulshof

Kevin Duijndam
Price Optimisation, Reinforcement Learning, Business Analytics, Supervisors: Ger Koole, Rob van der Mei

Elisabeth Fokker
FTMaaS project, Supervisors: Rob van der Mei, Elenna Dugundji
Arwin Gansekoele
Machine Learning for Combatting Cybercrime, Supervisors: Rob van der Mei, Sandjai Bhulai, Mark Hoogendoorn

Elena Garlati
Large Language Models for forecasting, Supervisors: Sandjai Bhulai, Ger Koole

Hilde Hummel
Machine learning algorithms for underwater acoustics, Supervisor: Rob van der Mei, Sandjai Bhulai
Simon Ilić
Machine Learning for (cyber)security, Supervisor: Rob van der Mei, Sandjai Bhulai, Mark Hoogendoorn

Tijn Jacobs
High-dimensional Bayesian causal inference for survival analysis, Supervisor: Stéphanie van der Pas

Jullian van Kampen
Models for predicting effects of subway stations on multimodal connections and neighbourhoods in urban areas., Supervisors: Rob van der Mei, Elenna Dugundji, Eric Pauwels
Jeroen van Kasteren
Operation Research and Business Analytics: Queueing Theory, Reinforcement Learning, Data Analytics, Machine Learning, Supervisors: Ger Koole, Sandjai Bhulai

Sophie Klumper
Customized and coordinated solutions for congestion bottlenecks in networks, Supervisors: Guido Schäfer (CWI), Rob van der Mei, Sandjai Bhulai

Leon Lan
AI-Boosted Integrated Production and Transport Optimization, Supervisors: Rob van der Mei, Sandjai Bhulai, Joost Berkhout

Alexander Langreiter
Hamiltonian Dynamics and Symplectic Geometry, Supervisors: Gabriele Benedetti

Britt van Leeuwen
Developing and evaluating new methods for the use of artificial intelligence in the context of intelligence services, Supervisors: Rob van der Mei, Sandjai Bhulai

Huixiaqing Liu
Statistical Methods for Assessing Higher-Order Interactions in fMRI Data, Supervisors: Rikkert Hindriks

Adel Magra
Bayesian statistics for semiparametric inverse problems, Supervisors: Harry van Zanten, Eduard Belitser
Berend Markhorst
Robust, effective and adaptable ship design, Supervisors: Rob van der Mei, Joost Berkhout, Jeroen Pruyn (TU Delft)

Luminita Maxim
Statistics: Statistics for Neuroscience, Statistical Inference for EEG/MEG Functional Connectivity , Supervisors: Rikkert Hindriks, Mathisca de Gunst

Moos Middelkoop
Machine Learning for (cyber)security, Supervisors: Rob van der Mei, Sandjai Bhulai, Mark Hoogendoorn

Dennis Nieman
Variational methods in Bayesian statistics, Supervisors: Harry van Zanten, Botond Szabo (Bocconi University)

Jesse Nagel
Customized and coordinated solutions for congestion bottlenecks in our infrastructure, Supervisors: Rob van der Mei, Sandjai Bhulai, Guido Schäfer

Mathijs Pellemans
Deep Learning for Supply Chain Optimization in the Mobility Industry, Supervisors: Sandjai Bhulai, Rob van der Mei, Jesper Slik

Yasmin Roshandel
Operations research and AI in supply chain optimization within the mobility industry, Supervisor: Sandjai Bhulai, Rob van der Mei, Jesper Slik

Robin van Ruitenbeek
Computer Vision for the Automotive Industry, Supervisors: Sandjai Bhulai, Ger Koole

Nadja Rutsch
High-dimensional Bayesian causal inference with DAGs, Supervisors: Stéphanie van der Pas

Erica van der Sar
Learning and Stochastic Optimization for Power Networks, Supervisors: Alessandro Zocca, Sandjai Bhulai

Alba Sendón Blanco
Algebraic Topology, Homotopy Theory, Cobordism, Category Theory, Supervisor: Renee Hoekzema

Yury Tavyrikov
Mathematical statistics, e-values, multiple testing, Supervisor: Rianne de Heide

Alexandra Vegelien
Quantile regression methods to high-dimensional statistical models, Supervisor: Wessel van Wieringen

Lais Wehbi
Reinforcement learning and its applications to mobility-related problems, Supervisor: Sandjai Bhulai, Jesper Slik
