I am a PhD student in Informatics - Machine Learning. My research focuses on Hybrid Physical Models and Multi-agent simulations with applications in agronomy and logistics.
I am affiliated to the research unit UMR MIA (Mathématique et Informatique Appliquées), within team EkINocs (Expert Knowledge, INteractive modellINg and learnINg for understandINg and decisiOn makINg in dINamic Complexe Systems). My research is conducted under the supervision of Cristina Manfredotti, with co-advisors Vincent Guigue and Evelyne Lutton.
Given the industrial focus of my PhD, I implement part of my research as on-demand products within the agronomic service of Agrial.
News
08/06/25: I’ll be attending to the CAP 2025 in Dijon,fr between the 30th june and the 2th july. The 30th june at 16h00, I’ll be presenting our paper: Prévision de sécheresse en utilisant une architecture neuronale hybride intégrant des séries temporelles et des données statiques.
24/04/25: I’ll be attending to the ICLR 2025 in Singapore between the 24th and the 28th april. I’ll be attending the Tackling Climate Change with Machine Learning Workshop the 28th april to present our paper: Drought forecasting using a hybrid neural architecture for integrating time series and static data.
05/03/25: Our paper: Drought forecasting using a hybrid neural architecture for integrating time series and static data was accepted at the Climate Change AI CCAI Workshop at the ICLR 2025 conference.
23/02/25: I’ll be participating in the GAIA (Generative Artificial Intelligence for Agriculture) Hackathon at the SIA, alongside a team of star developers from Agrial.