I hold a Master’s in Cognitive Science (Aarhus University, Denmark) and a degree in Mathematics and Computer Science applied to the Humanities and Social Sciences (University of Lorraine, France). My research spans cognitive modeling, Bayesian inference, and machine learning, with applications from modeling and predicting human behavior to studying cultural/human evolution. Projects include tracing the evolution of love in French literature (ENS, Paris), modeling cognitive and physical effort in music performance (University of Oslo), developing industry segmentation and customer models (Norlys), building and applying a cognitive decision-making model to study how perceived insecurity shapes cooperation in public goods games across diverse societies, and predicting early childcare enrollment intentions among low-SES families in France using machine learning.

Alongside academia, I have over a decade of professional experience as a music producer, which strengthened my creativity, collaboration, and resilience. I have also participated in international training programs, including Neuromatch, Computational Psychiatry (Zurich), Theoretical Modeling (Radboud University), and Probabilistic Machine Learning (ProbAI).