Mateusz Zarucki

CERN Senior Fellow (for Task 3.4)

Particle physics has always fascinated me as the pursuit of answers to the most fundamental questions about the universe. For over a decade at the CMS experiment at the LHC at CERN, I have witnessed firsthand how international collaboration successfully brings all elements of a large-scale experiment together. My work spans physics analysis, software development, and detector operations, with a growing focus on high-performance computing and novel technologies for detector upgrades.

Born in Warsaw and raised in Vienna, I later completed my Master’s in physics at Imperial College London, including an Erasmus year at the University of Valencia, working with the NEXT experiment on the search for neutrinoless double-beta decay. I completed my doctorate at HEPHY and TU Wien, with a thesis on background modelling and trigger algorithms for SUSY searches with CMS. As a PostDoc at the University of Notre Dame, I led a team responsible for the HLT operations of CMS, overseeing the successful startup of LHC Run 3, including the commissioning of GPU-based heterogeneous reconstruction. Currently, as a CERN Fellow, I work on the Phase-2 upgrade of the HLT for the HL-LHC as part of the NGT project. My focus is on developing a system that derives optimal detector calibrations in real time during data-taking, taking advantage of data buffering online.

I believe there lies great potential for expanding our reach in pursuit of physics beyond the Standard Model by overcoming real-time data processing limitations at a more fundamental level. My research interests lie at the intersection of data science and analysis, trigger and DAQ systems and reconstruction algorithms, with a particular enthusiasm for machine learning, artificial intelligence and high-performance computing to tackle the challenges of future next-generation experiments.

Fields of interest:

• Trigger & Data Acquisition
• Data Science and Analysis
• Physics Beyond the Standard Model
• High-Performance Computing, Heterogeneous Computing (GPUs/Accelerators)
• Machine Learning & Artificial Intelligence
• Detector Operations
• Software Engineering