Next to these courses, the following students were supervised since 2008 in the context of their Master thesis ;

1. Pierre-Henri Wibaut, Evolution of Bipartite Cooperation ; separating interaction and imitation networks
2. Tarik Roukny Ornia, Learning dynamics in networks.
3. Geoffroy Loumaye, Fairness as driven by individual level reciprocity in N-player games
4. Jean-Sébastien Lerat, Exploring Common pool resources with natural resource dynamics. (Université de Mons)
5. Jeremy Vion, The effects of matching algorithms on the level of fairness in the ultimatum game
6. Antoine De Wilde, Inferring conditional behaviours using probabilistic models
7. Simon Marillet, Evaluation of intra-protein co-evolution prediction methods
8. Florian Wintjens, Machine Learning : Coalition-based Naive Bayesian Classification
9. Quentin Estievenart, Predicting secondary structure with Dynamine
10. Olivier Boes, Improving the Needleman-Wunsch algorithm with the Dynamine Predictor
11. Anthony Hoffman, Live migration of virtual machines in the cloud computing
12. Thibaut Van De Velde, Concevoir un modèle de jeu à ressources communes au sein d’un Cloud.
13. Dennis Steckelmacher, Reinforcement Learning in Complex Environments: Evaluating Algorithms on Image Classification.
14. Nathalie De Wit, Cluster analysis of neurodevelopmental diseases with Spark.
15. Jean Lobet, Multi-task learning in protein bioinformatics.
16. Charlotte Nachtegael, Networks in Developmental Disorders.
17. Najma Cherrad, Structural and functional analysis of DIDA variants.
18. Dany-Simonne Efila Efila, Automatisation du diagnostic de la pathologie cognitive TDA/H sur base d'acquisition EEG via le deep learning.
19. Hadrien Goffin, Apprentissage par renforcement sur un environnement non-stationnaire : Etude du Nomic.
20. Milan Malfait, Modelling Tumor Heterogeneity.
21. Olga Ibánez Solé, Coupled evolutionary dynamics in protein sequence space.
22. Axel Abels, Dynamic Preferences in Deep Multi-Objective Reinforcement Learning.
23. Alexandre Unger (Faculté médécine), Exploration des hérédités digéniques chez des patients épileptiques
24. Kaïs Albichari, Improve Cooperation Through Emotions Modelling : an evolutionary approach
25. Anoine Passemiers, Protein Residue Contact Prediction based on a Fully-Convolutional Neural Architecture
26. Tanguy D’Hose, Ostracism and cooperation.
27. Robin Petit, Interactome-based analysis of the Human Phenotype Ontology through the Mendeliome
28. Christian Frantzen, Text Mining in Biomedical Literature
29. Barbara Gravel, Improving prediction of disease-causing combinations in exomes - new feature and other methods to reduce false positives and false negatives,
30. Thomas Weysow, Selection of inhibitors of bald protein targets in the oncogenic process via machine learning.
31. Chloé Terwagne, Critical assessment of predictive methods in Bioinformatics Use-case study on predicting gene pairs involved in digenic diseases.
32. Nicolas Feron, The Portable Talking Heads.
33. Inas Bosch, Knowledge graph embeddings for the prediction of pathogenic gene pairs.
34. Ismaila Abdoulahi Adamou A Knowledge Graph Embedding Approach to the
Identification of Disease-Causing Gene Pairs.
35. Tanguy Lambilot, Communication methods in Multi-Agent Reinforcement Learning.
36. Benjamin Houart, Comparing value-based methods to policy gradient algorithms in Multi-Agent Reinforcement Learning.
37. Grace Hannah, Theory of Mind Agents Behaviour in The Mod Game.
38. Cédric Hanssens, Learning affordances in Common Pool Resources Dilemmas.
39. Derar Alkaneb. Using multi-stakeholder games to understand social media.
40. Loic Cordero Fonseca. Explainability in Multi-Agent Reinforcement Learning.
41. Mathieu van de Bremt. Performance Specific Reinforcement Learning.
42. Nadine Guetat. Using multi-stakeholder games to understand social media.
43. Vassili Papadakis. Feature circuit discovery on a causal reasoning task on Pythia-70m.