Résumé

My expertise lies in game theory, social choice, and cyber-deception, tools I employ to unravel the intricacies of conflicts and decision-making processes. Familiar with fuzzy statistics and graph theory, I adeptly manage ambiguous data and dissect strategic networks. As an authority on simplifying Markov Decision Processes, I refine the approach to problem-solving within optimization challenges. Leveraging considerable experience in teaching, I dedicate myself to nurturing future leaders equipped to address the scientific, industrial, and societal challenges of tomorrow.

I hold a PhD in Computer Science, with dual recognition from the French CNU in both Computer Science (Section 27) and Applied Mathematics (Section 26). My research focuses on game theory, reinforcement learning, and stochastic modeling applied to cybersecurity, epidemic control, and algorithmic resource allocation.

I completed a postdoctoral fellowship at IMT Atlantique (2023–2025), and I am now open to new research and academic opportunities.

Key Competencies

Strategic modeling (game theory, MDPs, reinforcement learning)
Cybersecurity and cyber deception
Stochastic optimization in large-scale systems
Interdisciplinary teaching (mathematics, statistics, computer science)

Below is my latest academic résumé (PDF, updated April 2025)

Resume.pdf

Researcher

Game Theory, cyber security, stochastic optimization, deep learning

Teacher

Pedagogy, didactic, Psychology, Management, Sociology, Philosophy

School Management

Experienced in supervising teachings and learnings

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