We are a research group at the University of Tübingen. Our aim is to develop privacy-preserving methods to process medical data, including genomes with machine learning algorithms and other statistical algorithms.
Our research focuses on innovations in the field of security, privacy and AI in the medical context to enable clinical and genomic data sharing and exploitation across a federation of medical institutions, hospitals and research laboratories in a scalable, secure, responsible and privacy-conscious way. It tries to address the main scalability, privacy, security and ethical challenges of data sharing for enabling effective P4 medicine, by defining an optimal balance between usability, scalability and data protection, and deploying an appropriate set of computing tools to make it happen. (see Research).
We are looking for passionate new PhD students, Postdocs, and Master students to join the team (more info) !
We are grateful for funding from BMBF.
01. February 2023
01. November 2022
15. September 2022
12. February 2022
Our new paper on privacy-preserving variant queries is published in Bioinformatics.