Kerol Djoumessi

Kerol is a PhD student in the Department of Data Science at the Hertie Institute for AI in Brain Health at the University of Tübingen and an IMPRS-IS scholar. In the past, he has studied several topics including software design and dynamic resource allocation in virtual networks. His current focus is on the design of interpretable/explanable deep learning models for clinical diagnosis, particularly inherently interpretable models for medical image analysis with applications in ophthalmology. In addition to interpretability, he is interested in clinical ethics, resource-efficient deep learning models, and the deployment of deep learning models.