Me
I am a Postdoc in the Stochastics Group under the supervision of Bert Zwart. Before this, I was a lecturer in Statistics at Eindhoven University of Technology, where I also obtained a Ph.D. in Probability under the supervision of Dr. Júlia Komjáthy. From September 2024-2026 I will work as a Florence Nightingale Bicentenary Research Fellow at the Unviersity of Oxford, and Senior Demy at Magdalen College.
In 2022 I have spent three monts as a visiting researcher in the Combinatorial Structures and Algorithms group at ETH Zurich, under the supervision of Johannes Lengler and Angelika Steger. Afterwards I have spent one month with Dieter Mitsche and Marcos Kiwi at Pontificia Universidad Católica de Chile.
I was one of the organisers of the RandNET Workshop on Random Graphs.
Preprints
2023
J. Jorritsma, J. Komjáthy, D. Mitsche. Cluster-size decay in supercritical kernel-based spatial random graphs. (arXiv)2023
J. Jorritsma, J. Komjáthy, D. Mitsche. Cluster-size decay in supercritical long-range percolation. (arXiv)2023
J. Jorritsma, J. Lengler, D. Sudholt. Comma Selection Outperforms Plus Selection on OneMax with Randomly Planted Optima. (arXiv)
Journal articles
2022
J. Jorritsma, J. Komjáthy. Distance evolutions in growing preferential attachment graphs. Annals of Applied Probability 32 (2022), no. 6, 4356-4397. (arXiv, journal)2021
L.A. Goldberg, J. Jorritsma, J. Komjáthy, J. Lapinskas. Increasing efficacy of contact-tracing applications by user referrals and stricter quarantining. PLOS ONE 16(5): e0250435 (medrXiv, journal)2020
J. Jorritsma, T. Hulshof, J. Komjáthy. Not all interventions are equal for the height of the second peak. Chaos, Solitons and Fractals 139 (2020), 109965. (arXiv, journal)2020
J. Jorritsma, J. Komjáthy. Weighted distances in scale-free preferential attachment models. Random Structures & Algorithms 57 (2020), no. 3, 823-859. (arXiv, journal)2017
M. Heydenreich, T. Hulshof, J. Jorritsma. Structures in supercritical scale-free percolation, Annals of Applied Probability 27 (2017), no. 4, 2569-2504. (arXiv, journal)
Conference articles
2023
D. Collaris, P. Gajane, J. Jorritsma, J.J. van Wijk, M. Pechenizkiy. LEMON: Alternative sampling for more faithful explanation through local surrogate models, IDA 2023.2023
J. Jorritsma, J. Lengler, D. Sudholt. Comma Selection Outperforms Plus Selection on OneMax with Randomly Planted Optima. GECCO 2023.
Theses
- Distances and component sizes in scale-free random graphs. PhD Thesis (2023).
- Structures in supercritical scale-free percolation. MSc Thesis (2016).
Organisation
2022
RandNET Workshop on Random Graphs: 10 days, 85 participants; initiated and organized jointly with Serte Donderwinkel; supervised by Christina Goldschmidt and Remco van der Hofstad.
Selected talks
apr 2024
(Second-)largest component in spatial random graphs. Probability and Statistics Seminar, Delft, the Netherlands.oct 2023
(Second-)largest component in spatial random graphs. Probability Seminar, Leiden, the Netherlands.oct 2023
(Second-)largest component in spatial random graphs. Discrete Probability Days, Barcelona, Spain.sept 2023
(Second-)largest component in spatial random graphs. Combinatorics Seminar, Graz, Austria.apr 2023
Distances and component sizes in scale-free random graphs. Final presentation PhD.dec 2022
Distance evolutions in growing preferential attachment models. Chilean Probability Seminar, Santiago, Chile.oct 2022
Cluster-size decay in spatial random graphs. Recent trends in Stochastic Processes, Eindhoven, the Netherlands.sep 2022
Cluster-size decay in spatial random graphs. Summer school on Random Geometric Graphs, Cologne, Germany.mar 2022
Distance evolutions in growing preferential attachment models. Combinatorics seminar ETH Zurich, Switzerlandoct 2021
Distance evolutions in growing preferential attachment models. Workshop on geometric random graph models and percolation, Lyon/Online, France.july 2021
Distance evolutions in growing preferential attachment models. CNRS-IRP Bézout-Eurandom meeting, Institut Henri Poincaré, Paris, France.mar 2021
Distance evolutions in growing preferential attachment models. Networks Training week, Netherlands/Onlinejan 2021
Distance evolutions in growing preferential attachment models. Oberwolfach workshop, Germany/Online.dec 2020
Not all interventions are equal for the second peak. Complex Networks, Spain/Online.july 2020
Combinatorics meeting ETH Zurich, Switzerland/Onlinejune 2020
CAIMS-PIMS Coronavirus Modelling Conference, Canada/Onlinenov 2019
Oberseminar Mainz, Germanynov 2019
Oberseminar Köln, Germanyoct 2019
Stochastics Seminar Eindhoven, the Netherlandsjan 2016
Stochastics Seminar Eindhoven, the Netherlandsdec 2015
Oberseminar LMU and TU München, Germany
Education
2014-2016
MSc., Eindhoven University of Technology
- Industrial and Applied Mathematics (Cum Laude)
- Statistics, Probability and Operations Research
- Thesis: Structures in supercritical scale-free percolation. (Grade: 10/10)
- Supervisors: Prof. Dr. Markus Heydenreich (LMU Munich), Dr. Tim Hulshof
2010-2014
BSc., Eindhoven University of Technology Industrial and Applied Mathematics
Professional Experience
2018-Current
Teaching Assistant, Eindhoven University of Technology
- Probability and Stochastics 2 (2MMS30)
- Random Graphs (2MMS60)
- Statistical Learning Theory (2DI70, 2MMS80) - Certificate of Excellence.
2017-2018
Data Scientist, Operations research engineer, Air France - KLM Royal Dutch Airlines Setting up and improving systems and models related to Predictive Maintenance for Aircraft. Presented solutions at several industrial conferences. Co-supervision of bachelor’s theses, together with Free University of Amsterdam, and Master’s thesis with University of Technology, Delft.
2016, jan-july
Data Scientist Intern, Air France - KLM Royal Dutch Airlines
2015, sept-dec
Research intern, Ludwig-Maximilians Universität München
2013-2016
Script developer, Coosto
2012-2015
Teaching Assistant, Eindhoven University of Technology
Favourite software languages/tools
- Python (and the scientific ecosystem around it)
- Reveal.JS
- Docker
- C++
- Git