cv

Contact Information

Name	Georg Schramm
Website	https://gschramm.github.io

Experience

2023 - present

Leuven, Belgium
Assistant Professor of Molecular Image Reconstruction and Analysis

KU Leuven
- leading a research group focused on the development of novel methods for improved image reconstruction and analysis in molecular imaging
- development of tools for the analysis of molecular imaging data and the translation of these tools into clinical practice
2022 - 2023

Stanford, USA
Instructor

Stanford University
- instructor in the lab of Prof. Fernando Boada focussing on anatomy-guided sodium MRI reconstruction
2015 - 2022

Leuven, Belgium
Postdoctoral Researcher

KU Leuven
- PostDoc in the lab of Prof. Johan Nuyts focussing on the development of novel methods for image reconstruction and analysis in PET (e.g. structure-guided PET reconstruction)

Education

2011 - 2015
PhD

Technische Universität Dresden, Germany

Medical Imaging
- attenuation correction in PET/MR
- summa cum laude
2005 - 2011
MSC

Technische Universität Dresden, Germany

Physics
- simulation of neutron capture and photon scattering
- among the top 5 of the graduates of the faculty of science in 2011

Awards & Honors

2026, CCP SyneRBI a honorary award for contributions to the community on open source software as well as education and training on AI aspects

2026, Winner of the 2nd PET reconstruction challenge (PETRIC2) by SyneRBI

2025, Runner-up of the ultra low dose PET denoising challenge

2024, Winner of the PET reconstruction challenge (PETRIC) by SyneRBI

2014, PhD award of Helmholtz-Zentrum Dresden-Rossendorf

2014, Award for notable achievements in nuclear medicine from German Society of Nuclear Medicine

2011, Ehrenfried Walter von Tschirnhaus Prize from TU Dresden

Service to the scientific community

Associate Editor, EJNM Physics (2020–2026)

Editorial Board member, Physics in Medicine & Biology (2026–present)

Topic Convenor, IEEE Medical Imaging Conference (MIC) (2026)

Skills & Interests

Physics in Nuclear Medicine - modeling of photon interactions, detector physics, PET, SPECT

Applied Mathematics - inverse problems, image reconstruction, large-scale optimization, machine learning

Scientific Computing - high performance computing, software design, software project management

Spoken Languages

German - native

English - fluent

Dutch - fluent

References

Professor Johan Nuyts (KU Leuven)
Professor Kris Thielemans (University College London)
Professor Fernando Boada (Stanford University)
Professor Andrew Reader (King's College London)