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Professor in Robotics and Artificial Intelligence (Imperial College) | Director of the Adaptive and Intelligent Robotics Lab (Imperial College) | Director of Tensor Strategy
I am Professor of robotics and artificial intelligence at Imperial College London, and director of the Adaptive & Intelligent Robotics lab. The goal of our research is to develop novel learning algorithms that will improve the adaptivity, versatility, and autonomy of robots and autonomous agents. We harness the creativity of AI and ML to find creative solutions and think outside the box. We have developed several state of the art methods in Quality-Diversity optization, in open-endedness, and world models.
Sorbonne Université
Master's degree, advanced systems and robotics
January 1, 2011 – January 1, 2012
Polytech Sorbonne
Engineer's degree in Robotics, ROBOTIQUE
January 1, 2009 – January 1, 2012
Lycée Couffignal
Classe Prepa, PTSI-PT*
January 1, 2007 – January 1, 2009
Lycée Pierre Lagourgue
Bac S option SI/Math, Science de l'ingénieur
January 1, 2004 – January 1, 2007
Imperial College London
Professor of Machine Learning and Robotics
September 1, 2025 – Present
Imperial College London
Reader (Associate Professor)
September 1, 2023 – August 1, 2025
Imperial College London
Senior Lecturer (Assistant Professor)
September 1, 2021 – August 1, 2023
Imperial College London
Lecturer (assistant prof)
August 1, 2018 – September 1, 2021
Imperial College London
Research associate in Robotics and Artificial Intelligence
November 1, 2015 – August 1, 2018
ISIR
PhD-Candidate in Robotics and Artificial Intelligence
September 1, 2012 – October 1, 2015
ISIR
Research Internship
March 1, 2012 – September 1, 2012
Gostai
Stagiaire Mécatronique
June 1, 2011 – August 1, 2011
Paris 13ème
ISIR
Design of a robotic cane for the elderly
September 1, 2010 – June 1, 2011
Paris
Les Jardins de la Terre
Stage de 3eme année.
June 1, 2010 – August 1, 2010
Quebec, Canada
Interaction and verbal communication in robotics
November 1, 2011 – January 1, 2012
Design of an algorithm allowing multi modes of interaction with the NAO robot. It was based on sound localization, speech recognition, gesture recognition and object recognition.
Cultural Fit Analysis
The candidate's background is heavily academic, focused on robotics and AI research. While this demonstrates a strong intellectual curiosity and dedication to complex problem-solving, the direct alignment with a 'Data Analyst' role in a corporate setting is not immediately clear. The project diversity is limited to robotics, and the skills listed are not explicitly data analysis tools or methodologies. This suggests a potential mismatch with a typical industry data analyst culture, which often requires more direct business application and specific data tooling experience.
Soft Skills & Operational Fit
The candidate's extensive academic career as a professor and researcher suggests strong analytical thinking, problem-solving, and independent work capabilities. The project leadership experience also points to good organizational and potentially team coordination skills. However, direct evidence of operational fit for a typical industry data analyst role is limited due to the academic focus.