What we do
DIFUTURE Tübingen joined the GO:FAIR PHT Implementation Network in 2018 as a milestone for distributed FAIR analysis. We aim to deploy a possible solution to achieve the defined goals from the PHT manifesto.
We develop proof-of-concepts, fully open source accessible, to demonstrate how modern cloud techniques can be leveraged for complex distributed, privacy-preserving medical data analytics.
Learn more about
our current work
Lukas (MSc in Bioinformatics), works as cloud scientist and is technical lead of the Personal Health Train Tübingen. He is part of the DIFUTURE informatics Team.
Michael studied in his B.Sc cognitive science and will finish his M.Sc in computer science soon. He works as research assistant at the Institute of Translational Bioinformatics (TBI) and works on: security implementation and enabling new methods using the Personal Health Train.
Florian studied in his B.Sc computer science and in his M.Sc in medical informatics. He works as research assistant at the Institute of Translational Bioinformatics (TBI) and works on: automatic detection of malicious trains and enabling new methods using the Personal Health Train.
Stephanie is team leader of the DIFUTURE analytics Team Tübingen.
Nico is W3 Professor for Computer Science (Methods in Medical Informatics) and lead of the ZIV (Center for innovative care) in Tübingen. For further information, please visit his personal website.
You are interested to contribute to the Personal Health Train project in one of the following ways:
- code development
- concepts to extend or enable different methods
- research questions you want to answer with de-central analysis