Summary
Thorben Quast is an experimental particle physicist with 11 years of experience focused on the CMS High Granularity Calorimeter upgrade, now applying his expertise at ZEISS in precision process development. He specialises in characterising silicon sensors and prototype readout electronics, leading beam tests and developing automated test, calibration and visual-inspection systems. Thorben combines hands-on lab work (LabVIEW DAQ, transient current technique setups) with advanced data reconstruction and analysis, including time-calibration and event-visualisation for test beams. He has applied deep learning across simulation, reconstruction and trigger-primitive encoding—authoring ML-based encoders and a GAN-based calorimeter simulator. Comfortable bridging research and engineering, he optimises testing procedures and builds semi-automated tooling that speeds sensor grading and qualification. Based in Oberkochen, Germany, he brings a rare mix of detector R&D, software development and machine-learning know-how to hardware-driven measurement problems.
11 years of coding experience
3 years of employment as a software developer
Master of Science (MSc), Physics, Master of Science (MSc), Physics at RWTH Aachen University
German, English, French, Italian