Didem Stark

Didem Stark is a PostDoc researcher at the University of Tübingen, focusing on fairness and bias mitigation in machine learning models applied to clinical neuroimaging. Her work addresses hidden biases that may disadvantage minority groups and evaluates debiasing methods across diverse subpopulations.

• Education:
  • PhD in Neuroscience (2016) from IMPRS Graduate School of Neural & Behavioural Sciences
  • M.Sc. in Molecular Biology, Genetics and Biotechnology (2011) from Charité – Universitätsmedizin Berlin
  • B.Sc. in Computer Engineering (2009) from Istanbul Technical University

Her research aligns with ethical AI in medicine, particularly clinical neuroscience, funded by the Walter Benjamin programme (DFG). She previously held roles at Charité and Test IO GmbH as a data scientist.

• Scientific Awards:
  • Walter Benjamin funding programme (DFG)