Nadja Strobbe

Nadja Strobbe is an Assistant Professor in the School of Physics and Astronomy at the University of Minnesota, where she conducts research on experimental collider physics as part of the CMS Collaboration at CERN. Her work focuses on the CMS experiment at the Large Hadron Collider, with significant contributions to detector development, physics analysis, and machine learning applications in particle physics.

Dr. Strobbe's research spans three main areas: searching for new physics beyond the Standard Model with a focus on signatures with many jets and low missing transverse momentum; developing readout electronics for a new calorimeter for the CMS experiment upgrade for the High Luminosity LHC; and applying machine learning/artificial intelligence to particle physics applications, particularly studying the robustness of event reconstruction algorithms using graph neural networks. Her work addresses fundamental questions in particle physics through both theoretical exploration and experimental innovation.

Her recent publications demonstrate expertise in proton-proton collisions, Higgs boson physics, B meson decays, and jet physics. These studies contribute to our understanding of fundamental particles and forces, testing the limits of the Standard Model and searching for evidence of new physics phenomena. The research often involves large international collaborations, reflecting the scale and complexity of modern particle physics experiments.

Dr. Strobbe leads several significant research projects including the Robustness of Machine Learning Algorithms for HEP Event Reconstruction (2022-2026), CMS Detector Upgrade Project Endcap Calorimeter (2019-2025), Physics at the Energy Frontier: CMS at the LHC (2014-2026), and the 2023 LPC Distinguished Researcher Program. These projects are funded by the U.S. Department of Energy and Fermi National Accelerator Laboratory, representing substantial research investments in her areas of expertise.

Her laboratory work focuses on the development of advanced detector systems for the CMS experiment, particularly the new calorimeter capable of taking 3D images with excellent timing resolution. This technology will enable unprecedented precision in reconstructing particle showers, pushing the boundaries of what's possible in high-energy physics experimentation.