A staff scientist at DESY since 2002, leading the FTX group that prepares future experiments in particle physics.
Research Interest
All aspects of software and algorithm development in particle physics, ranging from core framework tools over pattern recognition and track fitting
to high level reconstruction tools.
Application of machine learning and artifical intelligence in particle physics with a focus on generative methods for the fast simulation of
detector signals.
Higgs physics at e+e- colliders, Strong-Field-QED and (beam-driven) Plasma Wakefield Acceleration.
