Prof of Physics in Medical Imaging
Medical University Vienna
Thomas Beyer holds a PhD in Physics and is co-developer of combined PET/CT imaging systems. He has a background in research and project management in academia and imaging industry.
Thomas graduated in Physics from the Leipzig University (Germany) and got his PhD in Medical Physics from Surrey University (UK). During his US-based studies he became involved in the development and clinical testing of the first PET/CT prototype (1992-2000) before joining Siemens/CTI PET Systems as an International PET/CT specialist.
In 2002 he became a Research Associate in Nuclear Medicine and Radiology and PET/CT project manager at Essen University Hospital (Germany). In 2006 he became Teaching Professor (Priv.-Doz.) for Experimental Nuclear Medicine at Essen, and joined timaq medical imaging Inc, a Zurich-based Imaging CRO. In 2007 Thomas moved to Philips Medical Systems as International Manager Clinical Science Nuclear Medicine. In 2008 he set up a Zurich-based consulting company for expert advise in cross-modality imaging and applications. He is appointed full professor of Physics of Medical Imaging at the Medical University of Vienna from March 2013. In 2018 he became co-founder of a University spin-out building AI prediction models using molecular image information.
Thomas holds an MBA degree in Entrepreneurship and Innovation from WU Vienna (2017); he is a member of various national and international Medicine organizations, a founding member of the European Association of Nuclear Medicine (EANM) Physics Committee, the European Society of Hybrid Imaging (ESHI) and past Head of the New Technology working group at the Association of Imaging Producers and Equipment Suppliers (AIPES).
Computational/data Science, Pet/spect, Instrumentation
Time Management, Scientific Writing, Project Management, Networking, Leadership Skills, Building A Start-up Company, Career Transitions, Advocating For Yourself, Alternative Career Paths
In my free time, I enjoy:
cooking, reading, biking, free-float thinking