CNES partnered with auticon to challenge signal modelling assumptions and develop a new hydrological simulator.
The client required advanced theoretical expertise in physics and mathematics to review and improve signal inversion algorithms for oceanographic satellite data (CFOSAT) and later to develop a simulator for hydrological instrumentation.
auticon deployed technologists for two missions: one delivering critical analysis and improved signal processing algorithms, the other developing a simulator with remote collaboration, supported throughout by a job coach to facilitate communication and onboarding.
The engagement reduced stigma around autism in high-skill environments and demonstrated that neurodivergent technologists can work seamlessly within research teams.
Thanks to her solid background, she quickly understood our problem and was able to propose new inversion solutions… It all went extremely well in both experiences.
