Rate My Professor Matteo Cremonesi

Matteo Cremonesi is an Assistant Professor of Physics at Carnegie Mellon University since November 2022. His research centers on experimental particle physics, with a focus on dark matter searches using the Compact Muon Solenoid (CMS) experiment at the Large Hadron Collider (LHC). He develops machine learning tools, including graph neural networks for missing transverse momentum (MET) reconstruction, and explores their deployment on field-programmable gate arrays (FPGAs) for real-time data analysis. Cremonesi has advanced big data frameworks like Coffea for high-energy physics analysis and pioneered Apache Spark applications in the field. He earned a PhD in Physics from the University of Oxford in 2015, with a thesis on "Observation of s-Channel Single Top Quark Production at the Tevatron" as part of the CDF experiment. He holds an MSc (2012) and BSc (2009) in Physics from the University of Rome II, both summa cum laude. Previously, he was LHC Physics Center AI Fellow and Research Associate at the University of Notre Dame (2021-2022) and Research Associate at Fermi National Accelerator Laboratory (2015-2021).