Professional

Research interest

My current research is on solving and deducing properties of first-order conservation partial differential equations by using random graphs and branching processes. This fits into my broader interest of representing/solving partial differential equations using stochastic processes.

Publications

Below you can find my preprints and publications.

Publications

Higher order moments for SPDE with monotone nonlinearities (with Manuel Gnann and Mark Veraar) - Published in Stochastics Link
Gelation and localization in multicomponent coagulation with multiplicative kernel through branching processes (with Ivan Kryven and Camillo Schenone) - Published in the Journal of Statistical Physics Link

Preprints

A limit theorem for the total progeny distribution of multi-type branching processes (with Ivan Kryven and Rik Versendaal). Link
Branching process representation for Burgers-like nonlinear partial differential equations (with Ivan Kryven). Link

Employment

I am currently a fourth year PhD Student at Utrecht University. My supervisor is Dr. Ivan Kryven. Previously, I was a student in applied mathematics and applied physics at Delft University of Technology where I wrote my master’s thesis under Prof. Mark Veraar and Dr. Manuel Gnann.

Teaching

I have been involved as a student assistant in several courses:

Mathematical statistical mechanics, masters course (2023/2024, 2024/2025)
Analysis, first year course (2022/2023, 2023/2024)
Calculus and linear algebra, first year course (2022/2023)
Modelling with ODEs and PDEs, third year course (2022/2023)
Statistics, second year course (2021/2022)
Introduction to numerical analysis (2021/2022)
Introduction to probability and statistics, first year course (2021)

Tools

There are a lot of great digital tools out there to make life easier for you, but you may not know about them! Hence, I list some of the tools I use below. While most of my work as a mathematician still happens with pen and paper, I mostly use (and highly recommend!) the following tools:

PARA method for information management. Link
LaTeX in VSCode with VIM and Copilot plugins. For more, see the great blogs by Gilles Castel and Leandro Chiarni.
Git during the writing process. This is particularly useful if you are making big modifications to a paper and may want to go back a version. This can also be combined with Overleaf.
Mathematica for most simple on-paper computations.

Personal

Some hobbies in arbitrary order: Reading (add me on Goodreads), weight-lifting, running/walking/cycling, skiing.

Everything should be made as simple as possible, but not simpler - Albert Einstein (allegedly)