Staff members
Staff members
The positions and research interests of the staff members. In alphabetical order by surname.
Dr Daniele Avitabile
Associate professor (Programme director BSc Mathematics), Dynamical Systems, Mathematical Neuroscience, Pattern formation, Multiple-scale dynamics
Dr Senja Barthel
Assistant professor, Geometric topology and Mathematical chemistry
Dr René Bekker
Associate professor (Programme committee Business Analytics), Operations research, Stochastic processes, Health care
Dr Gabriele Benedetti
Assistant professor, Analysis on manifolds: Hamiltonian dynamical systems
Prof dr Jan Bouwe van den Berg
Full professor (Head of department), Dynamical systems and PDEs
Dr Joost Berkhout
Assistant professor, Operations research: Mathematical optimization, Markov chain theory & applications
Prof dr Sandjai Bhulai
Full professor (Programme director MSc Business Analytics, Director of education), Analytics and Optimization
Dr Magnus Botnan
Assistant professor, Algebraic topology: Topological data analysis
Dr Sander Dahmen
Associate professor (Chair of programme committee Mathematics), Number theory and Formalized mathematics
Dr Camilla Damian
Research associate, Statistical Inference for Stochastic Processes
Dr Svetlana Dubinkina
Associate professor, Paleoclimate, Subsurface flow, Pipe flow, Data assimilation, Inverse problems, Numerical methods, Statistical mechanics
Drs Angela Evenhuis
Departmental manager
Drs Annemieke van Goor-Balk
Academic advisor, Business analytics internship coordinator
Prof dr Mathisca de Gunst
Full professor, Statistics: statistics for life sciences, statistics for networks, applications in neuroscience. Confidential counsellor for the Faculty of Science.
Dr Rikkert Hindriks
Assistant professor, Statistics, inverse problems, electroencephalography (EEG), magnetoencephalography (MEG), functional MRI, neural dynamics
Hélène Hiwat-Van Laar
Project Manager for the BeyondTheEdge Project
Dr Renee Hoekzema
Assistant professor, Topology: Invariants of manifolds, applications of topological data analysis
Dr Pol van Hoften
Assistant professor, Algebraic number theory, algebraic geometry, Langlands programme, Shimura varieties (in characteristic p)
Prof Dr Ger Koole
Full professor, Stochastic operations research: queueing theory, Markov decision chains, reinforcement learning. Service Operations Management: call centers, health care, revenue management
Prof dr Ronald Meester
Full professor, Probability Theory: forensic probability and statistics, belief functions, philosophy of probability, spatial random processes
Prof dr Rob van der Mei
Full professor, Stochastic operations research, operations management, queueing, stochastic optimisation, nosiness analytics. Emergency response systems, revenue management, transport & logistics, mobility, communication networks, traffic management, cyber-security
Prof dr ir Frank van der Meulen
Full professor (Programme director MSc Business Analytics), Mathematical statistics, statistical inference for stochastic processes, Bayesian computational methods
Prof dr Konstantin Mischaikow
Visiting professor, Topological Methods for the Analysis of Dynamical Systems, Computational Topology and Dynamics, Mathematical Biology
Dr Fahimeh Mokhtari
Assistant professor, Dynamical systems and Representation theory
Dr Raffaella Mulas
Assistant professor, Graph theory: networks, combinatorics, spectral theory of graphs and hypergraphs
Prof dr Bob Rink
Full professor, Analysis: Nonlinear dynamical systems, Networks, Hamiltonian systems
Dr Thomas Rot
Assistant professor, Topology: (Infinite dimensional) degree theory, Morse theory, orbifold topology, Non-linear analysis: Fredholm theory, Hilbert manifolds, Dynamical systems: Conley theory
Prof dr Rob van der Vorst
Full professor, Dynamical systems and Geometry: Floer homology for braided systems, periodic orbits in symplectic geometry and algebraic structures in dynamical systems
Dr Alessandro Zocca
Assistant professor, Stochastics and Operations Research: applied probability, stochastic networks, power systems reliability, rare events simulation