Dr. Didem Stark

Didem Stark is interested in understanding bias and fairness in machine learning models used for clinical neuroimaging data. Using various fairness metrics, her research investigates hidden biases that may disadvantage minority groups. More importantly, she focuses on how debiasing methods perform across diverse subpopulations. As AI becomes increasingly integrated into healthcare decision-making, her research is ultimately aiming to ensure that these powerful tools benefit all members of society equally. Funded by the Walter Benjamin funding programme (DFG), she seeks to contribute to ethical AI in medicine, particularly in clinical neuroscience.