PhD in high-energy physics from RWTH Aachen University with a focus on machine learning, big-data analysis and scientific software development. Worked for the CMS experiment at CERN.

My work includes:

• classification and robust neural networks for high-energy physics
• differentiable optimisation methods
• computer vision and generative models
• Python/TensorFlow-based analysis software for large experimental datasets

• gato-hep – differentiable optimisation for multidimensional event categorisation (paper)
• Kolmogorov–Arnold Networks for event classification (paper)
• Super-resolution of photon calorimeter images with generative adversarial networks (paper)
• Paraflow – generative fast simulation with normalizing flows (paper)
• HiggsDNA – major contributor to a collaborative Python analysis framework for CMS H→γγ measurements
• MiniAOD_photons_to_ML – preparation of CMS photon data for machine-learning applications

Python · TensorFlow · PyTorch · scikit-learn · NumPy · pandas · Awkward Array · Git · Linux