Victor Sanchez

I am currently a first year PhD student working on Generative Models applied to Remote Sensing at CESBIO and ISAE-SUPAERO under the supervision of Mathieu Fauvel and Thomas Oberlin. My current research work is in partnership with RELEO project.

Before starting my PhD adventure I worked as a Research Engineer at INRIA Grenoble on Deep Reinforcement Learning applied to Robot Navigation in the RobotLearn under the supervision of Xavier Alameda-Pineda and Chris Reinke. Then I worked as a Research Engineer too at CNRM - Meteo France on Generative Models applied to Ensemble Weather Forecasting in the Previsibility Team under the supervision of Laure Raynaud.

Research interests after I started my PhD:

• Generative Models (Diffusion Models, Flow Matching, Flow Maps)
• Multimodal Generative Models for Remote Sensing
• Application of Remote Sensing to land area
• Weather Forecasting
• Ensemble Weather Forecasting
• Generative Models applied to Weather Forecasting
• Reinforement Learning
• Deep Reinforcement Learning
• Deep Learning applied to Robotics

Research interests before starting my PhD:

• Weather Forecasting
• Ensemble Weather Forecasting
• Generative Models applied to Weather Forecasting
• Reinforement Learning
• Deep Reinforcement Learning
• Deep Learning applied to Robotics

News

• 25/09/26 - I presented a poster on my current PhD project about Diffusion Model for Probabilistic Multimodal Remote Sensing at GdR IASIS Days - Recent Advances in Remote Sensing
• 21/06/26 - I attended the Peyresq summer school on generative modelling and optimal transport co-organized by Mathurin Massias and Quentin Bertrand