Professional Biography

I am a Contractual Researcher in Computer Science at the University Toulouse Capitole and a member of the Institute of Research in Computer Science of Toulouse (IRIT, UMR 5505 CNRS). I received a Ph.D. in Applied Mathematics from ONERA, ISAE-SUPAERO, and Polytechnique Montréal. My doctoral work on high-dimensional multidisciplinary design optimization for aircraft eco-design was awarded the 2024 ISAE-SUPAERO Best PhD Thesis Prize (Fondation ISAE-SUPAERO / French Ministry of Research) and the 2025 National Open Science PhD Award from the French Ministry of Research.

My research focuses on surrogate modeling, frugal AI, and explainable machine learning for computationally expensive simulations. I develop lightweight statistical and machine-learning models (including Gaussian processes and ensemble methods) to approximate complex systems, quantify uncertainty, and support decision-making. My work connects Explainable AI, Bayesian optimization, and scientific machine learning, with applications ranging from sustainable aeronautical design to agent-based socio-environmental modeling. I am a lead developer of the Surrogate Modeling Toolbox (SMT 2.0), contributing to open-source tools for surrogate modeling, design optimization, and interpretable simulation analysis.

Career Summary