Gaétan Raynaud

Gaétan Raynaud is a Researcher and Doctoral Assistant at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Unsteady Flow Diagnostics Laboratory (UNFOLD) within the Institute of Mechanical Engineering (IGM) under the School of Engineering (STI). His research focuses on fluid-structure interaction, fluid dynamics, and robotics, with applications in areas such as soft robotics, material design, and real-time sensing systems.

He contributes to projects like the development of highly agile flat swimming robots and studies on flapping flag dynamics. His work integrates experimental fluid mechanics, computational modeling, and machine learning approaches, such as Physics-Informed Neural Networks (PINNs), to solve complex fluid-structure interaction problems and optimize robotic systems.

• Labs/Teams: UNFOLD Lab (EPFL), collaborating on interdisciplinary projects involving robotics, fluid dynamics, and soft materials.
• Technical Expertise: Event-based sensing, soft robotics actuation, data-driven modeling, and computational fluid dynamics.