I hold a PhD in Data Science and Computation from the University of Bologna (2021–2025, defended March 2026, with honors). I conducted my doctoral research at CERN within the CMS (Compact Muon Solenoid) experiment, contributing to the Next Generation Triggers project for the High-Level Trigger system.

My work focused on advanced computing techniques for large-scale scientific data processing.
I developed a framework for multi-objective parameter tuning (patatune), currently used in production for optimizing particle track reconstruction in CMS.
I also investigated lossless compression techniques for RAW data within the ROOT framework to reduce storage requirements and increase trigger rates, including studies on GPU acceleration and machine learning approaches.
In addition, I maintained a framework for orchestrating calibration and analysis workflows, serving as main developer as L3 Software Coordinator for the Alignment, Calibration and Database group of CMS.

Previously, I was a research fellow at the INFN-CNAF computing centre (2019–2021), where I worked on the IoTwins Horizon 2020 project, contributing to the development of Digital Twins for small and medium enterprises.
My work included the design of big data platforms for heterogeneous data collection and analysis, cloud-based infrastructure management, and predictive maintenance solutions for large-scale datacenters.

Education

I obtained a Master’s degree in Applied Physics (2017–2019, 110/110 cum laude) and a Bachelor’s degree in Physics from the University of Bologna.

I have had additional training in Statistics and Machine Learning, and followed multiple schools in Modern and Efficient Programming and Heterogeneous Computing, with certification in CUDA programming for Python and C++. I attended to international training activities, including the CERN School of Computing.

Teaching

I have been a teaching assistant for the courses "Computer Programming in Physics" (C++) and "Applied Machine Learning" at the University of Bologna (2020–2024), contributing to lectures, hands-on sessions, and student evaluation. I have also delivered lectures on C++, Python, and Git.