Joost Jorritsma bio photo

Joost Jorritsma

Postdoctoral Research

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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

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, Switzerland
  • oct 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/Online
  • jan 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/Online
  • june 2020 CAIMS-PIMS Coronavirus Modelling Conference, Canada/Online
  • nov 2019 Oberseminar Mainz, Germany
  • nov 2019 Oberseminar Köln, Germany
  • oct 2019 Stochastics Seminar Eindhoven, the Netherlands
  • jan 2016 Stochastics Seminar Eindhoven, the Netherlands
  • dec 2015 Oberseminar LMU and TU München, Germany

Education

2014-2016 MSc., Eindhoven University of Technology

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
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