Georgios Kaissis

Georgios Kaissis is an Adjunct Assistant Professor at the Technical University of Munich, where he holds a senior research scientist role at the Institute of Artificial Intelligence in Medicine and serves as an attending radiologist at the Institute of Radiology. His work focuses on developing next-generation trustworthy artificial intelligence algorithms for medical applications, integrating advanced deep learning techniques and probabilistic machine learning.

• Education: Medical and doctoral degrees from LMU Munich, Master’s in Healthcare Business Administration from FAU Nuremberg, radiology specialization from TU Munich, postdoctoral training in Machine Learning at Imperial College London.

Research Interests: Georgios leads the Reliable AI group, concentrating on trustworthy AI and privacy-preserving algorithms in medical imaging. His work bridges machine learning and clinical radiology, with a focus on federated learning and secure data integration to enhance diagnostic accuracy while maintaining patient confidentiality.

Networks and Affiliations span institutions like Imperial College London, Technical University of Munich, and LMU Munich, alongside collaborations in mathematical departments and radiology across Europe.