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I’m a High Energy Physicist at IJCLab, CNRS/IN2P3 and Université Paris-Saclay, currently working for the ATLAS experiment at CERN on the Large Hadron Collider.
After a dozen of year designing and implementing many pieces of the ATLAS experiment software, a chance meeting in 2013 with a Machine Learning (what was this?) Computer Scientist decided a new path in my career : develop the interface between High Energy Physics (and science in general) and Machine Learning (or Artificial Intelligence).
My current and past research topics are described below ( please check the Publications tab for references)
Current research topics
- Simulation Based Inference
- Machine Learning for fast particle Tracking at the Large Hadron Collider
- Generator models for fast detector simulation
- Using an OPU for event classification
- Uncertainty aware training
Past research topics
- evidence for Higgs to tau tau in ATLAS (MMC)
- software developments for ATLAS
- B physics in ALEPH
- ALEPH detector alignment