Hello, I'm Tommaso!
Hello, my name is Tommaso Diotalevi, I currently live in Bologna but my origins are from a small town in the Marche region called Candelara. I was born the 27th of May 1993 in the city of Urbino, one of the centers of the Italian renaissance and - from 1998 - inserted in the UNESCO World Heritage Site list.
Education and training
- In 2012 I obtained the Scientific High School Diploma
at the Scientific High School "G.Marconi" in Pesaro.
- In 2015 I obtained the Bachelor
degree in Physics cum laude at the University of
Bologna.
- In 2016 I attended the CERN Summer Student Programme,
with a project named "Analysing
CMS transfers using Machine Learning techniques".
- In 2018 I obtained the Master
degree in Physics cum laude at the
university of Bologna.
- In 2018 I attended the CNAF Technological Summer Student
fellowship program, focusing on the Collection of system logs
and the development of a prototypal Analytics service using the
Elastic Stack Suite.
- In 2021, I attended the CERN Doctoral Student fellowship program,
with the PhD research project named: "Application of Deep Learning techniques
in the reconstruction of high energy muons and in the search for BSM Higgs
bosons in the μμ final state in CMS"
- In 2022, I obtained the
PhD in Physics at the University of Bologna.
- From 2022 to 2023, I worked as Research Fellow at the
INFN-CNAF, in the Software Developer group, for the development of an
API for the Storage Manager system (StoRM) in use at the Worldwide LHC Computing Grid (WLCG).
From 2023 I am a
Junior Researcher (RTDa) at the University of Bologna
and a member of the INFN (Italian Institute for Nuclear and
Subnuclear Physics).
Membership in research groups
- From 2016 I am a member of the CMS
Collaboration (Compact Muon Solenoid), at the
European Center for Nuclear Research (CERN) in Geneva
(Switzerland).
- From 2019 I became an associated member at CERN in
Geneva.
- From 2020 I co-operate in the activities of the CSN-5
AI_INFN (Approach end-to-end in the usage of Machine
Learning and Artificial Intelligence for INFN research lines),
focusing on Machine and Deep Learning modelling, DL on FPGA and
predictive maintenance.
- From 2023, my research is mainly involved 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 (ICSC) founded by the Italian recovery plan (PNRR).
- From 2025, actively involved in software&computing for
Einstein Telescope Infrastructure Consortium
(ETIC) in the Bologna operational unit. Acquisition and validation of the BETIF/DIFAET computing
resources.
Teaching Activity
I am performing teaching activity duties in the following courses:
-
Software and Computing for High Energy Physics, in the Master's degree course in
Physics at the University of Bologna.
-
Thermodynamics A,
B, in the Bachelor's degree course in
Physics at the University of Bologna.
-
General Physics I in the bachelor's degree course in Automation and Electric
Engineering at the University of Bologna.
