Matteo Cremonesi

Matteo Cremonesi is an Assistant Professor in the Department of Physics at Carnegie Mellon University. His research focuses on experimental particle physics, particularly in the study of the fundamental building blocks of Nature. As an experimental physicist, he contributes to the search for dark matter through experiments at the Large Hadron Collider (LHC), specifically as a member of the Compact Muon Solenoid (CMS) experiment. He has published work on dark matter searches in association with top quarks and the Higgs boson. Additionally, he leads efforts to improve missing transverse momentum (MET) reconstruction using graph neural networks (GNNs) for enhanced data analysis. His work also involves the development of tools for deploying GNNs on field-programmable gate arrays (FPGAs) for real-time analysis in collider experiments.

Matteo Cremonesi is an Assistant Professor at Carnegie Mellon University, specializing in Experimental High Energy Physics, Artificial Intelligence, and Scientific Computing. His research focuses on the analysis of particle collisions at high-energy facilities such as the Large Hadron Collider, with an emphasis on the CMS detector. He contributes to the development of advanced algorithms for particle identification, jet reconstruction, and luminosity measurements. His work includes studies on Higgs boson decays, heavy-flavour jets, and missing transverse momentum reconstruction. He also explores the integration of artificial intelligence in scientific computing to enhance data analysis and simulation techniques.