Summary
Simon Prunet is an astrophysicist with deep expertise in cosmology, statistical inference, and numerical methods, combining over two decades of experience on projects from ESA’s Planck mission to ground-based and balloon-borne experiments. After serving as Resident Astronomer and instrument scientist at CFHT, he returned to research at Laboratoire Lagrange where he applies statistical learning and optimization to diverse problems like radio air-shower reconstruction, image reconstruction for radio astronomy, and Fresnel diffraction for exoplanet occulters. He brings a rare mix of hands-on instrumentation, pipeline development, and theoretical training (PhD in Theoretical and Mathematical Physics) that enables end-to-end work from detectors to cosmological parameters. His recent work also leverages archival telescope data to build data-driven models for observational conditions and automatic night scheduling—an uncommon bridge between operational astronomy and machine learning. Colleagues credit him for multidisciplinary collaborations across signal and image processing, plasma physics, and spectroscopy that translate into pragmatic, reproducible analysis pipelines. Based in Nice, France, he combines academic rigor with practical instrument experience to tackle complex inference and simulation challenges in modern astrophysics.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Theoretical and Mathematical Physics, Doctor of Philosophy (PhD), Theoretical and Mathematical Physics at Université Paris Sud (Paris XI)
Master's degree, Theoretical and Mathematical Physics, Master's degree, Theoretical and Mathematical Physics at Ecole Normale Supérieure
Master of Engineering (MEng), Master of Engineering (MEng) at Ecole polytechnique
English, French