Kerol Djoumessi

Kerol Djoumessi designs deep learning models for medical image analysis that are interpretable by design, with applications in ophthalmology. He is a PhD student in the Department of Data Science 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/explainable deep learning models for clinical diagnosis. In addition to interpretability, he is interested in clinical ethics, resource-efficient deep learning models, and the deployment of deep learning models.