Jad Mathieu Sardain, PhD

About

I am a Postdoctoral Research Associate. I work on jet substructure measurements and the application of machine learning to particle physics using the ATLAS experiment at CERN. I have a PhD in Elementary Particle Physics from Sorbonne Université (Paris, France). In my current and previous positions, I have applied different machine learning techniques for object classifications, pattern recognition techniques, and anomaly detection. From the particle physics side, I have worked on differential jet substructure measurements, hadronic object reconstruction and calibration, boosted object tagging, and search for new particles with hadronic final states. I can bring diverse perspectives and experiences to the team, as I have worked in multiple research institutions and collaborated with international colleagues. I value teamwork, innovation, and communication, and I am eager to contribute to the different goals and vision of the organization.

Experience

• University of Arizona (4 yrs 6 mos)
  • Research Scientist
    Jul 2026 - Present · 1 mo

  • Postdoctoral Research Associate
    Feb 2022 - Jun 2026 · 4 yrs 5 mos

    Keywords: GNNs, Transformers, DNN, BNN, PyTorch, Tensorflow - Leading team for tagging jets using cutting-edge machine learning techniques - Responsible of project to calibrate clusters using DNN and BNN - Measuring jet substructure observables to better understand QCD and improve dark matter searches

• Postdoctoral Researcher at Centre national de la recherche scientifique
  Nov 2020 - Feb 2022 · 1 yr 4 mos

  Keywords: GNNs, Adversarial, Clustering Algorithms, Pattern Recognition - Implemented a GNN based tagger for jet classification and decorrelation techniques for better background extraction - Part of team working on pattern recognition using GNNs for track searches at the LHC - Measuring jet substructure variables to factorize QCD effects - Jet calibration studies for highly boosted jets

• Researcher PhD Student at Laboratoire de Physique Nucléaire et de Hautes Energies ( LPNHE - UPMC / IN2P3 / CNRS)
  Oct 2017 - Sep 2020 · 3 yrs

  Keyword: Particle physics, Markhov Chain Monte Carlo, Bayesian - Precise measurements of the top quark mass with the 13 TeV data of the ATLAS experiment (CERN) - Analysis based on Markhov Chain Monte Carlo for jet substructure measurement

• Research Internship at Laboratoire de Physique Nucléaire et de Hautes Energies ( LPNHE - UPMC / IN2P3 / CNRS)
  Mar 2017 - Jul 2017 · 5 mos

  Study of the b-quark fragmentation linked to the measurement of the top quark mass with the ATLAS collaboration (CERN)

• Research Internship at Laboratoire de Physique Nucléaire et de Hautes Energies ( LPNHE - UPMC / IN2P3 / CNRS)
  Apr 2016 - Jul 2016 · 4 mos

  Cosmic rays detection via the emission of the molecular bremsstrahlung radiation with the Pierre Auger collaboration (Argentina)