Strobbe gets grant to study machine learning

Nadja Strobbe, Assistant Professor in the School of Physics and Astronomy will receive $232,000.00 as part of a $4.3 million grant awarded by the Department of Energy to improve machine learning in high energy physics. Strobbe’s research will use data from theLarge Hadron Collider at CERN in Switzerland, specifically studies carried out by the Compact Muon Solenoid (CMS) Collaboration of which Strobbe is a member. 

This project will study the robustness of machine learning algorithms used for event reconstruction in high energy physics by using the CMS High Granularity Calorimeter as a case study. After evaluating the robustness of AI that is already in place, the group will look at avenues to improve robustness and to transfer what they learn to other areas of high energy physics.