Speaker
Description
Dr. Maurizio Pierini, CERN Physicist working on the CMS experiment at the Large Hadron Collider
Abstract: The High-Luminosity LHC phase, scheduled for 2025, will challenge the commonly accepted solutions for tasks such as event reconstruction, real-time processing, large dataset simulation, etc. Deep Learning is considered as a strong candidate to solve this issue, by speeding up the task executions with potentially no performance loss. We will discuss a few preliminary studies, showing potential use cases for techniques like computing vision of natural-language processing to LHC-related physics problems.
Bio: I am a CERN physicist, working on the CMS experiment at the Large Hadron Collider. My main areas of interests are the search for physics beyond the standard model. I have a consolidated experience with optimizing real-time data processing and selection. In the recent past, I have been working on investigating and promoting the usage of Deep Learning in particle physics.
