He achieved his double undergraduate degree (2009) in Automatics and Systems at the École Supérieure d'Électricit\'e (Supélec, France) and Industrial Engineering at the Technical University of Madrid (UPM). He got interested in MAVs during the development of his Master's Thesis in Automation and Robotics (UPM, October 2012), which was deeply related to Control and State Estimation algorithms for MAVs developed for the participation in the IMAV2012 - International Micro Air Vehicle Conference and Flight Competition 2012. His team was awarded with the Special Award "Best Automatic Performance - IMAV 2012". During his PhD studies he has participated in multiple MAV competitions: IMAV2013 (awarded First Prize in Indoors Autonomy), IARC2014 and as part of the as part of the Graz Griffins team in the EuRoC2014 Challenge (positioned 6/21, [Video]) and in the 2016 DJI Developer Challenge. He has co-authored open-source code for the autonomous control of MAVs: Image-Based Visual Servoing controller, Quadrotor Navigation Cotnroller (implemented in MAVwork) and AeroStack. He achieved his PhD Degree - Doctor por la Universidad Politécnica de Madrid (UPM, Madrid, Spain) – in July 2017 for his PhD Thesis on Vision‑Based Autonomous Navigation of Multirotor Micro Aerial Vehicles. Currently he pursues his research interests in Visual-Inertial State Estimation and civilian applications of MAVs in the ICG of the Graz University of Technology (TU Graz).