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Curriculum Vitae

Education, research output, and selected teaching experience.

Education

  • Ph.D. in Electrical Engineering & Computer Science, KTH Royal Institute of Technology, August 2020 – December 2025
    Supervisors: Mikael Skoglund, Tobias Oechtering
    Thesis: An Information-Theoretic Approach to Bandits and Reinforcement Learning
    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

Publications

Teaching