Thomas is responsible for revenue management strategy and scientific methodologies. He holds a Ph.D. in Theoretical Physics and Mathematics and a BA in Finance from the University of Copenhagen, Denmark. He has published several articles focused on methodologies for forecasting and optimization of simplified fare structures, dynamic pricing, dynamic offers, and machine learning.