Our Team
Team members of the NEEDLE project, across the domains of machine learning research, and high energy particle physics. Spanning the ATLAS, CMS, and ALICE Collaborations at the LHC, and other STEM subjects.
Dr. Stephen Jiggins
DESY Principal Investigator
Machine Learning Research Lead
Leading the machine learning research & development team, and NEEDLE software stack development. Specialise in deep learning for particle physics, Monte Carlo simulations, large-scale distributed systems, and numerical mathematics.
DESY | ATLAS Collaboration
PD Dr. Judith Katzy
DESY Principal Investigator
Project Lead
Managing and coordinating the overall project. Working on machine learning for particle physics. Member of the ATLAS Collaboration with focus on Higgs and top quark physics and related Monte Carlo phenomenology.
DESY | ATLAS Collaboration
Prof. Ulrich Husemann
DESY Principal Investigator
Project Co-lead
Particle physicists working on machine learning applications. Member of the CMS Collaboration at the CERN Large Hadron Collider with a focus on the physics of the top quark and the Higgs boson, and on silicon tracking detectors.
DESY | CMS Collaboration
Levi Evans
Post-Doctoral Researcher
Method Development
Member of the Machine Learning and Software Development Team. Specialising in generative model development and applications.
DESY | ATLAS Collaboration
Kylian Schmidt
PhD Student
Software Engineer
Part of the Machine Learning and Software Development Team. Working on the main NEEDLE orchestration tool.
KIT | CMS Collaboration
Nino Kovacic
PhD Student
Machine Learning in Physics Researcher
Interested in, and working on, applications of Machine Learning within the field of high energy physics, primarily regarding NSBI, and NLRE in particuar. Part of the Development Team.
University of Zagreb | ALICE Collaboration
Stefan Katsarov
PhD Student
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Developing Neural Simulation-Based Inference (NSBI) methods, with a primary focus on Neural Likelihood Ratio Estimation (NLRE), to probe the CP structure of top-associated Higgs production at the ATLAS experiment.
DESY | ATLAS Collaboration
Niklas Reus
Master's Student
Working on systematic uncertainties in simulation-based inference for direct dark matter detection. Applying Neural Likelihood Ratio Estimation to infer WIMP properties from XENONnT nuclear recoil spectra.
KIT | XENON Collaboration
Nicolo Trevisani
Post-Doctoral Researcher
I am a postdoc researcher at the Karlsruhe Institute of Technology. I am part of the CMS collaboration at CERN, where my research line is centered around the study of the Higgs boson and the reconstruction and calibration of muons. I try to get the best out of the available data using machine learning, keeping a tight bond with physics.
KIT | CMS Collaboration