Cyriaque Rousselot

PhD in Computer Science

📚 Research Interests

My research focuses on machine learning, deep learning,
and their applications to spatio-temporal modeling of airborne pesticide concentrations. In regimes dominated by inductive bias, especially when data is scarce, I developed methods to analyse error and enforce constraints in the training. The main goal is building trust in the estimator.

🔬 Current work

I currently work with Inria on CartanLabs, a project focused on accelerating numerical simulation campaigns.

🎓 PhD thesis

Deep Learning for Spatio-Temporal Pesticide Exposure Modeling: Extrapolation, Interpretability, and Constraints

Université Paris-Saclay, 2026.

📫 Contact

📧 prenom.nom@inria.fr