Curriculum Vitae
I am a PhD candidate at TU Delft with a background in discrete mathematics, working at the intersection of applied mathematics, theoretical computer science, and phylogenetics. My research focuses on the mathematical and algorithmic foundations of phylogenetic networks, with particular emphasis on identifiability, network combinatorics, and algorithmic principles. In parallel, I develop open-source software and user interfaces that translate theoretical results into accessible tools for biological applications.
Education
2023–present
PhD in Applied Mathematics
Delft University of Technology
Discrete Mathematics & Optimization group. Advisors: Leo van Iersel, Mark Jones, and Steven Kelk. Topic: inference, identifiability, and combinatorics of phylogenetic networks, and parameterized complexity.
2021–2023
MSc in Applied Mathematics
Delft University of Technology
Specialisation: Optimisation. Thesis: Computing the Scanwidth of Directed Acyclic Graphs.
2018–2021
BSc in Applied Mathematics
Delft University of Technology
Minor: Quantum Science & Quantum Information. Thesis: Maximum Coverage Problems: Theory and Application in Optimal Sensor Selection.
2012–2018
Grammar school ('gymnasium')
Chr. Gymnasium Sorghvliet, The Hague
Experience
2023–present
PhD Candidate
Delft Institute of Applied Mathematics, TU Delft
2024
Extended research visit
ICERM, Brown University (Providence, RI, USA)
semester program on Theory, Methods, and Applications of Quantitative Phylogenomics
Honours & distinctions
2023
MSc Applied Mathematics — cum laude
grade 9.2/10; thesis 9.5/10
2021
BSc Applied Mathematics — cum laude
grade 8.4/10; thesis 9.5/10
2018
Grammar school ('gymnasium') — summa cum laude
grade 9.0/10
Publications
Summary
16 works
8 journal articles ·
1 conference proceeding ·
5 preprints ·
2 theses.
Full list with abstracts on the Publications page.
Selected
- PhyloZoo: a unified framework for phylogenetic network analysis in Python, bioRxiv 2026.
- Bounds on the Sequence Length Sufficient to Reconstruct Binary Level-1 Phylogenetic Networks Under the CFN Model, Annals of Combinatorics 2026.
- PaNDA: Efficient Optimization of Phylogenetic Diversity in Networks, Journal of Computational Biology 2026.
- Identifiability of Phylogenetic Level-2 Networks under the Jukes-Cantor Model, bioRxiv 2025.
- Squirrel: Reconstructing Semi-directed Phylogenetic Level-1 Networks from Four-Leaved Networks or Sequence Alignments, Molecular Biology and Evolution 2025.
Organization
January 2026
The A in DIAM — 4th Annual PhD Forum Event
Delft, the NetherlandsA day on the applications of mathematical research, for the PhD candidates and postdocs of the Delft Institute of Applied Mathematics
Selected talks
2026
PaNDA: Efficient Optimization of Phylogenetic Diversity in Networks
RECOMB, Thessaloniki, Greece
contributed talk
2026
PhyloZoo: A Python Package for Analyzing and Exploring Phylogenetic Networks
International Workshop on Probabilistic, Combinatorial, and Algorithmic Phylogenetics, Taipei, Taiwan
contributed talk
2025
Squirrel: Reconstructing semi-directed phylogenetic level-1 networks
Mathematical and Computational Evolutionary Biology (MCEB), Granada, Spain
contributed talk
See the Conferences page for every event attended, spoken at, or organized.
Teaching & service
Teaching
8 courses · instructor, course grader, exercise tester, guest lecturer, teaching assistant.
Student supervision
2 MSc theses ·
2 BSc theses.
Review service
5 journal reviews ·
2 conference sub-reviews.
Other service
- Confidential contact person, 2026–present · Delft Student Handball Association Torius
- DIAM PhD Forum member, 2025–present
- Chairman, 2025–2026 · Delft Student Handball Association Torius
Courses, supervised students, and review venues on the Teaching & Service page.
Skills & software
Programming
Python, R, Macaulay2, Matlab, Maple, LaTeX, Excel, Qt, HTML, Git, TensorFlow, Keras
Open-source software
author/maintainer of PhyloZoo, Squirrel, PaNDA, and scanwidth (see the Software page)
Languages
Dutch (native), German (native), English (fluent), French (basic), Italian (learning)