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
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
Robbert van der Burg
Modeling weather-driven failures in power grids, Supervisor: Alessandro Zocca
Bianca Carvalho de Oliveira
Algebraic Topology and Homotopy Theory, Equivariant and Stable Homotopy Theory, Supervisor: Inbar Klang
Samuel Castelo Mourelle
Algebraic topological methods for dynamical systems, Supervisor: Rob van der Vorst
Francesca Cavallini
Mathematical Neuroscience, Uncertainty Quantification, Supervisors: Daniele Avitabile, Svetlana Dubinkina
Alain Chavarri Villarello
Formalizing diophantine algorithms, Supervisor: Sander Dahmen
Enes Devecio
Topological Data Analysis, Persistent Laplacian, Supervisor: Magnus Botnan
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
Nicola Falciola
Formalizing modular forms related algorithms, Supervisor: Sander Dahmen
Elisabeth Fokker
FTMaaS project, Supervisors: Rob van der Mei, Elenna Dugundji
Elena Garlati
Large Language Models for forecasting, Supervisors: Sandjai Bhulai, Ger Koole
Hilde Hummel
Machine learning algorithms for underwater acoustics, Supervisors: Rob van der Mei, Sandjai Bhulai
Simon Ilić
Machine Learning for (cyber)security, Supervisors: Rob van der Mei, Sandjai Bhulai, Mark Hoogendoorn
Tijn Jacobs
High-dimensional Bayesian causal inference for survival analysis, Supervisor: Stéphanie van der Pas
Bernat Jorda Carbonell
Topological data analysis for paleontology: Assessing microfossil biogenicity, Supervisor: Renee Hoekzema
David Krame Kadurha
Optimizing climate-resilient grid operations, Supervisor: Alessandro Zocca
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, Oliver Fabert
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, Supervisor: Rikkert Hindriks
Adel Magra
Bayesian statistics for semiparametric inverse problems, Supervisor: 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
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, Supervisors: Sandjai Bhulai, Rob van der Mei, Jesper Slik
Nadja Rutsch
High-dimensional Bayesian causal inference with DAGs, Supervisor: 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
Julia Sollberger
Topological Data Analysis: Multiparameter Persistence, Supervisor: Magnus Botnan
Jesse Straat
Floer theory methods for quantum mechanics, Supervisor: Oliver Fabert
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
Cyriel van Velzen
Collective dynamics in active oscillator networks, Supervisor: Bob Rink, Christian Bick
Lais Wehbi
Reinforcement learning and its applications to mobility-related problems, Supervisor: Sandjai Bhulai, Jesper Slik