Professor Daniel Delahaye is the head of the Optimization and Machine Learning Team of the ENAC research laboratory (ENAC : French Civil Aviation University). He is also in charge of the research chair “AI for ATM and Large Scale Urban Mobility” in the new AI institute ANITI in Toulouse. He obtained his engineer degree from the ENAC school and did a Masters of Science in Signal Processing from the National Polytechnic Institute of Toulouse in 1991. He graduated with a PH.D in automatic control from the Aeronautic and Space National School in 1995 under the co-supervision of Marc Schoenauer (CMAPX) and did a post-doc at the Department of Aeronautics and Astronautics at MIT in 1996 under the supervision of Professor Amedeo Odoni.
He started his career working at the French Civil Aviation Study Center (CENA) and moved to ENAC in 2008. He obtained his tenure in applied mathematics in 2012. He conducts research on mathematical optimization and artificial intelligence for airspace design and aircraft trajectories optimization. He actively collaborates with MIT, Georgia Tech and NASA (USA) on development of Artificial Intelligence algorithms for air traffic management applications.