Quentin joined SDSC in 2021 as a data scientist in the industry team.
His expertise lie at the intersection of big data, software engineering and machine learning, with a strong interest for applications in domains like energy, telecoms, manufacturing.
Quentin graduated EPFL in 2020 with a M.Sc. in computer science and a specialisation in data analytics. He carried out his master thesis on algorithms for pattern recognition in event streams, and also contributed in smart grid projects during his studies.
On his free time, Quentin is a keen volleyball player, snowboarder, and occasional cross country biker.