Corentin Delacour

Corentin Delacour received his Ph.D in Microelectronics in 2024 from University of Montpellier, France, where he designed analog hardware based on oscillatory neural networks (ONN) to solve hard combinatorial optimization problems. He holds an engineering degree from CentraleSupélec, Paris, and a Master degree from Ecole Polytechnique Fédérale de Lausanne (EPFL) where he specialized in analog circuit design. He is currently a postdoctoral researcher at the OPUS Lab, University of California Santa Barbara. His research interests span unconventional algorithms and energy-efficient hardware for AI and Mathematical Optimization. In particular, his work focuses on physics-inspired computing approaches where algorithms are "naturally" executed by dynamical systems such as coupled p-bits.