Rafael Pax

Is currently working at Universidad Complutense of Madrid (UCM) in the project MOSI-AGIL, while studing a M.Sc degree in the same university. From 2011 to 2013 he was working in GAMCO, at the RAISME project (FP7), developing applications for automatic creation and integration of predictive models in the cloud. After that, he worked as an intern (2013-2014) in ETS Asset Management Factory, in the development of modules for time series analysis and portfolio management. He got a Bachelor Degree in Computer Science from Universidad Complutense of Madrid (2015), obtaining a merit with distinction in his B.Sc final work, called MASSIS.

His research focuses on the development of social crowd simulations to analyze the role of ambient intelligence systems. These simulation adopt techniques to reproduce faithfully human behavior.