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Professor Luigi Del Debbio's research interests lie primarily in Quantum Field Theory, emphasizing nonperturbative aspects relevant to particle physics. His work employs both analytical and numerical methods, focusing on Quantum Chromodynamics and low-dimensional fermionic models, as well as electroweak symmetry breaking. He utilizes Monte Carlo methods, implemented on cutting-edge High Performance Computing platforms such as IBM BlueGene and GPU systems. In addition to his research, Professor Del Debbio teaches a wide array of courses at the School of Physics and Astronomy, including Quantum Mechanics at the Junior Honours level, and has supervised Integrated Master's projects. Furthermore, he acts as Programme Coordinator for Mathematical Physics and is involved in offering PhD project opportunities that cover topics such as Data Science, Generative AI, lattice field theory, and Parton Distribution Functions within the Physics context of the LHC: Experiment Theory.
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