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Gaspard Beaudouin is a master’s student at the École Nationale des Ponts et Chaussées, Institut Polytechnique de Paris, in the Department of Mathematics and Computer Science, specializing in Machine Learning and Vision.

His research interests center on Deep Learning and Foundation Models, particularly Large Language Models and Diffusion Models. Gaspard has completed several personal projects in this domain and conducted academic research on score-based diffusion models for drug design under the supervision of Gabriel Stoltz. Previously, Gaspard completed a Machine Learning internship at Sinequa in Paris, where he worked on enhancing Large Language Models through various fine-tuning techniques including Supervised Fine-Tuning and Reinforcement Learning from Human Feedback to improve agentic capabilities.

Currently, Gaspard is a short-term visiting scholar at the Harvard AI and Robotics Lab under the supervision of Dr. Mengyu Wang. His research focuses on Flow Matching and Diffusion Models for text-to-image editing applications, with additional work on Vision-Language Models.