I am currently an associate professor at Institut de Recherche de Mathématique Avancée (IRMA), Strasbourg university.
Research interests
My work focuses on building robust decision-support tools for complex systems. This research is divided into two main areas:
- System Understanding & Biostatistics: Analyzing (multi)-omic data (e.g., RNA regulation datasets) using advanced machine learning and statistical methods to understand genomic mechanisms.
- Decision Strategies & Stochastic Control: Developing decision-making strategies using stochastic control theory on (Bayesian) Markov processes, solved via (deep) reinforcement learning algorithms.
In both areas, I am strongly interested in healthcare applications.
Please feel free to reach out if my research interests you!
PhD
PhD in Biostatistics | november 2025
Institut Montpelliérain Alexander Grothendieck (IMAG), University of Montpellier
Thesis: Optimizing sequences of decisions in piecewise deterministic Markov processes using Bayesian deep reinforcement learning: Applications to cancer treatment.
Supervisors: Benoîte de Sapalta, Alice Cleynen, Régis Sabbadin.