Josué Pagán obtained his doctorate in Computer Science from the Complutense University of Madrid in 2018 with honors ‘cum laude’ and extraordinary doctorate award. His work focuses on the development of robust methodologies for information acquisition, modeling, simulation and optimization in biophysical scenarios. He has worked on the development of models for early crisis prediction and classification of neurological and oncological diseases. In 2016 he worked as visiting researcher at the Embedded Pervasive Systems Lab at Washington State University and in the Pattern Recognition Lab at the Friedrich Alexander Universität in 2015. He obtained the Telecommunications Engineering degree from the Polytechnic University of Madrid in 2013 with honors. He also obtained a degree in Tech. Eng. in Telecom. Esp. Image y Sound from the Public University of Navarra in 2010.

He is proactive in the field of technology transfer, and founder of a start-up. His teaching is focused on HW-SW systems for IoT. He is member of the Quality Committee of the Health Research Institute of Madrid Hospitals, and he has participated as a member of the program committee of international congresses.