Andreas works at the intersection between Astrophysics & Data Science. He received his PhD from the Technische Universität München, Germany, for the development of novel simulation and data analysis tools for the Compton-scattering and pair-creation telescope MEGA. At UC Berkeley, he is currently working on the development of new data analysis tools and their application to hard X-ray and gamma-ray telescopes. His main project is COSI, a balloon-borne gamma-ray telescope which was built from ground up at Berkeley’s Space Sciences Laboratory. COSI had a record setting 46-day stratospheric balloon flight in 33 km altitude and observed gamma rays from Galactic positron annihilation and Galactic nucleosynthesis, as well as from pulsars, binaries, and black holes. 

Andreas leads the development of the universal open source calibration, simulation, and data analysis toolkit MEGAlib for X- and gamma-ray telescopes. MEGAlib can be applied not only to space telescopes but also to detector system on ground such as for nuclear medicine (e.g. hadron therapy monitoring) or environmental monitoring (e.g. the ARES & HEMI detector systems developed at LBNL).

Within the MEGAlib framework, Andreas is currently focusing on applying the latest deep learning approaches to the data analysis of gamma-ray detectors and improving the image quality of Compton telescopes using high-dimensional responses created on Berkeley’s Cori supercomputer.