Tommaso Diotalevi

Junior assistant professor at the department of Physics and Astronomy, carries out its research in the Nuclear and Subnuclear physics field of expertise. Research interests are mainly focused on the application of advanced scientific techniques for data analysis, trigger and computing for the CMS experiment at the LHC and High-Luminosity LHC.

Currently, it is based on the research for the high-performance implementation of algorithms and innovative computing strategies on Big Data for high energy physics, within the National Centre for HPC, Big Data and Quantum Computing.