I obtained my Master of Engineering in 2009 from Télécom ParisTech (ENST, France) and Telecom Barcelona (Universitat Politècnica de Catalunya, Spain) after fulfilling a double degree programme. During that time, I specialized in image processing and became interested in artificial intelligence and medical robotics.

I carried out my Master's final project as an intern in the research department of the Airbus Group (formerly EADS) in France, which was my first contact with industrial applications of machine learning.

My Ph.D. thesis topic was in the area of computer vision, on the analysis and classification of unconstrained monocular videos, with a focus on human action recognition. It was jointly supervised by Gabriel Brostow (University College London, UK) and Frédéric Jurie (Université de Caen Basse-Normandie, France) and partially funded by EADS France. We explored video descriptor quantization using random forests, and local and global representations of video for supervised learning.

In 2013 I joined the Perceiving Systems department of the Max Planck Institute for Intelligent Systems (Tübingen, Germany) as a postdoctoral researcher. I worked on optical flow estimation under the supervision of Michael J. Black.

Since June 2015 I am working on vision for robotics at the Autonomous Motion department. My current interest are recursive Bayesian estimation for fusing multiple asynchronous sensors, and enabling continuous interaction of robots with their environment.