Education

Ph.D in Electrical Engineering & Computer Science, KTH Royal Institute of Technology, August 2020
- Supervisors: Mikael Skoglund, Tobias Oechtering
- Information Theory, Machine Learning, Reinforcement Learning, Multi-Armed Bandit Problem, Thompson Sampling
M.S. of Engineering in Applied and Computational Mathematics, KTH Royal Institute of Technology, 2018-2020
M.S. of Engineering in Mathematical Engineering, École Polytechnique de Louvain, 2018-2020
- Specialisation in Mathematics of Data Science and Machine Learning
- Master thesis: “Optimal measurement times for particle filtering and its application in mobile tumor tracking” under the supervision of Pr. Benoit Macq
B.S. in Engineering, École Polytechnique de Louvain, 2015-2018
- Specialisation in Electrical and Mathematical Engineering

Other experience

2019 - 2020:
- Co-founder of aSmartWorld, a Belgian startup specializing in collecting, refurbishing, and selling smartphones and tablets across Europe.
Summer 2017: Analyst Intern
- Deloitte London, Consulting - “Strategy and Operations” Division

Thompson Sampling Regret Bounds for Contextual Bandits with sub-Gaussian rewards
Amaury Gouverneur, Borja Rodríguez-Gálvez, Tobias J. Oechtering, and Mikael Skoglund
Presented at ISIT 2023 [pdf]
An Information-Theoretic Analysis of Bayesian Reinforcement Learning
Amaury Gouverneur, Borja Rodríguez-Gálvez, Tobias J. Oechtering, and Mikael Skoglund
Presented at Allerton 2022 [pdf]
Optimal intermittent particle filter
Antoine Aspeel, Amaury Gouverneur, Raphaël M. Jungers, and Benoit Macq
IEEE Transactions on Signal Processing 2022
Optimal measurement times for particle filtering and its application in mobile tumor tracking
Amaury Gouverneur, and Benoit Macq
Master thesis [pdf]
Optimal measurement budget allocation for particle filtering
Antoine Aspeel, Amaury Gouverneur, Raphaël M. Jungers, and Benoit Macq
Presented at IEEE International Conference on Image Processing (ICIP) 2020 [pdf]