MDPPML Research Group

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) !

News

01 October 2024

Second place in the Junior Research Group Competition at MII

30 August 2024

Our paper is accepted to IEEE Healthcom 2024

18 August 2024

A new research grant from DFG!

26 July 2024

A DPM 2024 publication!

19 July 2024

A Cell Patterns publication!

05 July 2024

A CIBB 2024 acceptance!

11 September 2023

An IEEE TPS 2023 publication!

06 May 2023

An NSS-SocialSec 2023 publication!

01 February 2023

Welcome Cem!

... see all News