Open call for a fully-funded PhD position in my group. Apply here

I am interested in graph theory and probability, numerical methods for dynamical systems, partial differential equations, stochastic analysis and randomised algorithms, which are often combined to give a new insight. I’m especially fascinated when such combinations reveal fundamental connections between discrete and continuous mathematics. I also take a special care that my research is useful for society and creates practical impact. In this respect, most significant impact so far has been made in chemistry and materials science, and I am trying to extend this scope to complex societal systems too.

Some of my past, current, and future research interests include (in arbitrary order):

• Mathematical foundation for network science
• Random matrices and spectral properties of sparse graphs
• Randomised approximation algorithms
• Random graph representation of nonlinear PDEs
• Percolation problems in random environments
• Parameter inference problems for stochastic differential equations
• Automata and graph grammars
• Dynamical systems that approximately solve NP problems
• Random graph theory for coalescence, gelation, and phase 
• Mathematical aspects of complex systems, including statistical physics view on epidemiology

— Eager to discuss these or similar topics? Please don’t hesitate to contact me. Email usually works best.

Student projects: I’m happy to advise motivated students, preferably on matters I can pretend to be an expert myself. Several suggestions for projects can be found here. If you like interacting with industry, I usually have internship projects that involve the aforementioned topics.

See also: Online Applied Mathematics Seminar, feel free to enquire.

Mathematics of Complexity — a broad research theme at the Mathematical Institute.

µ-Open an outrech venue for students and by students.

Postdocs

• Rik Versendaal, now faculty at TU Delft

PhD Students

• Mike de Vries
• Jochem Hoogedijk
• Niek Mooij 
• Verena Schamboeck (papers, thesis 2020), now a modeller at Austrian Power Grid 
• Yuliia Orlova (papers, thesis 2020), now a postdoc at University of Amsterdam

Master Students

• Yeyang Hu
• Josanne Verheule (thesis 2024, collaboration with RIVM)
• Hannah Onverwagt (thesis 2023)
• Niels Scholte (thesis 2023, collaboration with CBS)
• Fleur Slegers (thesis 2023, now PhD at UU)
• Mike de Vries (thesis 2023, now PhD at UU)
• Niek Mooij (thesis 2022, now PhD at UU)
• Camillo Schenone (thesis 2022, paper)
• Andi Lin (thesis 2022, now PhD at Nijmegen)
• Thomas Bakx (thesis 2022, blog post, with Elisa Chisari, now PhD student at the physics department UU)
• Nynke Brouwer (thesis 2021, data scientist at Moraves)
• Yaïr Hein (thesis 2021, now PhD at UU)
• Frits Verhagen  (thesis 2020, joint supervision with Umut Gürsoy), 
  now PhD Student at University of Singapore
• Femke Ieperen (thesis 2020, paper 1, paper 2), now developer at Scientific Volume Imaging