Abdellah TNOURJI
I am Dr. Abdellah Tnourji. As a Research Scientist at UM6P and an experimental high-energy physicist with CERN's ATLAS Collaboration, I bridge the frontier of fundamental physics and artificial intelligence. I engineer precision models and intelligent systems to decode complex data and drive meaningful discovery.
Dr. Abdellah Tnourji
Research Scientist · Physicist · Educator
Vision
From fundamental physics to responsible machine intelligence.
My work is driven by one question: how can rigorous science and intelligent computation turn complexity into insight? I developed this approach at CERN through precision detector calibration and top-quark physics, expanded it through aerospace education and autonomous systems, and now apply it to data science and machine learning at UM6P. I combine physical reasoning, statistical discipline and modern AI to build systems that are explainable, robust and useful.
“Bridge first-principles science and machine intelligence to solve high-impact problems across research, engineering and society.”
Google Scholar citations across large scientific collaborations
Years across research and higher education
Engineering teaching and supervision
Core Capability Stack
Research Base
Trajectory
Experience.
Jul 2026 - Present
Research Scientist, Data Science & Machine Learning
Mohammed VI Polytechnic University (UM6P), Rabat
Building applied research at the intersection of intelligent systems, scientific computing and data-driven discovery.
2022 - Jun 2026
Research Professor of Physics & Computing
ELISA Aerospace, France
Promoted in 2024. Delivered 945 hours across physics, electronics, Python, C++, machine learning, deep learning and autonomous systems, while leading project-based engineering education.
2019 - 2022
Doctoral Researcher, ATLAS Experiment
Université Clermont Auvergne / CERN
Advanced HGTD timing calibration and precision top-quark spin-correlation research, with contributions published in Nature, ATLAS Collaboration publications, and a peer-reviewed ATLAS Internal Note.
2019
Research Intern, Drell-Yan Physics
IJCLab / Paris-Saclay
Studied LHC constraints on proton parton distribution functions.
2018
CERN Summer Student, CMS
CERN, Geneva
Analyzed missing transverse momentum in Pb-Pb collision data.
Selected work
Research with signal.
Nature · Selected contribution
Observation of quantum entanglement in top-quark pairs using the ATLAS detector
A landmark collider-physics result observing quantum entanglement at the highest energy scale.
ATLAS Technical Design Report · Detector R&D
A High-Granularity Timing Detector for the ATLAS Phase-II Upgrade
The detector concept and technology programme enabling precision timing in the HL-LHC environment.
Doctoral thesis · Primary research
Time Calibration of the HGTD and Measurement of Top-Quark Spin Correlation
A unified programme spanning detector calibration, precision top physics and EFT-sensitive observables.
IFAC World Congress · Predictive control
Optimal Predictive Energy Management of Battery-Supercapacitor Electric Vehicles
Model-based optimisation and predictive energy management for hybrid-storage electric vehicles.