CV
Want to collaborate on a research project? Feel free to contact me by mail!
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 real-world fact-checking, image verification, 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 as a long paper 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 as a journal paper in TOP
- 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 included: 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
- Yusuf Heylen : master thesis student (Sep 2024 - Jun 2025)
- Jan Zimny : master thesis student (May 2024 - Feb 2025)
- Gabriel Thiem : student assistant (Feb 2024 - Dec 2024)
- Niklas Traser : student assistant (Jun 2024 - Jul 2024)
Service
- Volunteer at EMNLP 2023 in Singapore
Publications
- Jonathan Tonglet, Marie-Francine Moens, 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
- Student representative at the program committee, 2019 and 2023
- Vice-President of UStart LLN, the UCLouvain chapter of the Belgian student entrepeneurship society, 2018-2020
- Member of the University Board of Directors (UCLouvain), 2018-2019