CV

Want to collaborate on a research project? Feel free to contact me by mail!
firstname[dot]lastname[at]tu-darmstadt[dot]de

Education

• ELLIS PhD Student in Computer Science, TU Darmstadt and KU Leuven, 2023-2027
  • Supervisors : Iryna Gurevych (TU Darmstadt), Marie-Francine Moens (KU Leuven), and Tinne Tuytelaars (KU Leuven)
  • Research on multimodal fact-checking, chart understanding, and computational social science
• M.Sc. in Artificial Intelligence, KU Leuven, 2022-2023
  • 89.92% Summa Cum Laude with the Congratulations of the Board of Examiners (best grades of the promotion)
  • Major in Speech and Language Technologies
  • Courses: Linguistics & AI, Speech Science, Information Retrieval, Speech Recognition, Language Engineering, Reinforcement Learning
  • Thesis : SEER: A Knapsack approach to exemplar selection for In-Context HybridQA, accepted at EMNLP main 2023
• Exchange Semester - Computer Science & Enginering, Politecnico di Milano, Fall 2021
  • 94.67%
  • Courses: Deep Learning, Recommender Systems, Multi-Agent Systems, Data and Information Quality
• M.Sc. in Business and Information Systems Engineering, KU Leuven, 2020-2022
  • 85.84% Summa Cum Laude
  • Major in Data Science
  • Courses: Machine Learning, NLP, Time Series, Operations Research, Software Architecture
  • Research assistant at the LIRIS group under the supervision of Bart Baesens and Wouter Verbeke
  • Thesis: Predicting the Demographics of Twitter Users with Programmatic Weak Supervision, accepted in Transactions in Operations Research
• B.Sc. in Business Engineering, UCLouvain, 2017-2020
  • 85.6% Magna Cum Laude
  • Interdisciplinary B.Sc. at the intersection of economics and engineering
  • Courses: Calculus, Algebra, Statistics, Programming, Algorithmic, Econometrics, Economics, Physics

Industry experience

• Summer 2021: Research Intern at Telenet Group, Mechelen, Belgium
  • Duties: Implementing a counterfactual explanation model for telco churn prediction
  • Supervisor: Professor Bart Baesens (academic), Anke Cassauwers (industry)

Awards

• LIRIS award for the best master thesis in Business and Information Systems Engineering, June 2022

Students

• Gabriel Thiem: student assistant (Feb 2024 - Jan 2025) - master thesis (Dec 2025 - Aug 2026), now at Bundesbank
• Clemens Gronbach: master thesis (June 2025 - December 2025)
• Niklas Traser: student assistant (Sep 2025 - Feb 2026), now PhD student at Ruhr-Universität Bochum
• Jan Zimny: master thesis (May 2024 - May 2025), now at SAP

Service

• Volunteer at EMNLP 2023 in Singapore
• Reviewer for NAACL 2025, ACL 2025-2026, EMNLP 2025-2026, EACL 2026, CVPR 2026, NeurIPS 2026, AAAI 2026, ECCV 2026, ACM Multimedia 2026, Nature Communications, IEEE Transactions on Multimedia

Talks

• Alan Turing Institute - London, United Kingdom - February 2026
• Statistics Flanders - Leuven, Belgium - May 2022

Publications

• Jonathan Tonglet, Tinne Tuytelaars, Marie-Francine Moens, and Iryna Gurevych. 2026. Protecting multimodal large language models against misleading visualizations. In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 8329–8349, San Diego, California, United States. Association for Computational Linguistics. https://aclanthology.org/2026.acl-long.377/
• Jonathan Tonglet, Jan Zimny, Tinne Tuytelaars, and Iryna Gurevych. 2026. Is this chart lying to me? Automating the detection of misleading visualizations. In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 8823–8844, San Diego, California, United States. Association for Computational Linguistics. https://aclanthology.org/2026.acl-long.398/
• Jonathan Tonglet, Gabriel Thiem, and Iryna Gurevych. 2025. COVE: COntext and VEracity prediction for out-of-context images. In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pages 2029-2049, Albuquerque. Association for Computational Linguistics. https://aclanthology.org/2025.naacl-long.102/
• Jonathan Tonglet, Marie-Francine Moens, and Iryna Gurevych. 2024. ``Image, Tell me your story!’’ Predicting the original meta-context of visual misinformation. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 7845–7864, Miami. Association for Computational Linguistics. https://aclanthology.org/2024.emnlp-main.448/
• Manon Reusens, Alexander Stevens, Jonathan Tonglet, Johanness De Smedt, Wouter Verbeke, Seppe vanden Broucke, and Bart Baesens. 2024. Evaluating text classification: A benchmark study. Expert systems with applications, 124302. https://doi.org/10.1016/j.eswa.2024.124302
• Jonathan Tonglet, Astrid Jehoul, Manon Reusens, Michael Reusens, and Bart Baesens. 2024. Predicting the demographics of Twitter users with programmatic weak supervision. TOP, 1-37. https://doi.org/10.1007/s11750-024-00666-y
• Jonathan Tonglet, Manon Reusens, Philipp Borchert, and Bart Baesens. 2023. SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13569–13583, Singapore. Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.emnlp-main.837

Languages

• French (native)
• Dutch (fluent)
• English (fluent)

Miscellaneous

• Partner Relations Lead for Emergent, the student data science and AI society of KU Leuven, 2021-2022
  • In charge of our first core partnership with Amazon
• Vice-President of UStart LLN, the UCLouvain chapter of the Belgian student entrepreneurship society, 2018-2020
• Member of the UCLouvain University Board of Directors, 2018-2019