Dr Claire David is the Programme & Research Manager of the Master’s Stream AI For Science as well as a Resident Researcher in Machine Learning.
She first obtained a Master’s of Engineering at the Institut National des Sciences Appliquées (INSA) in Toulouse, France, before switching gears with a PhD in Particle Physics at the University of Victoria in Canada. After a postdoctoral fellowship at DESY in Hamburg, Germany, Claire got a position as Assistant Professor at York University in Canada and was jointly appointed as Research Scientist at the Fermi National Accelerator Laboratory (FNAL). She co-founded the Canadian effort on the Deep Underground Neutrino Experiment (DUNE), which is a future detector to be hosted by the US laboratory Fermilab near Chicago, Illinois. Her main expertise is, however, in collider physics: she has 10+ years’ experience working for the ATLAS Experiment, which is one of the detectors of the Large Hadron Collider (LHC) at CERN, on both data analysis and detector upgrade.
During the academic year 2022-2023, Claire took a leave and visited eight African countries – all AIMS centres – to teach Machine Learning and give seminars about her research.
Beside experimental particle physics, Claire’s interests range from ethics in AI, sustainability to education in Africa. If not at AIMS, she can be found outside doing endurance sports.