Data Science / Machine Learning for Safe Medical Diagnostics
We work on robust and interpretable algorithms that enable machine learning algorithms to be applied in the clinical workflow in ophthalmology.
Ifeoma Veronica Nwabufo
Ifeoma Nwabufo uses machine learning to solve problems in health, currently exploring self-supervised methods for embedding medical images. She is a…
Kerol Djoumessi
Kerol Djoumessi designs deep learning models for medical image analysis that are interpretable by design, with applications in ophthalmology. He is a…
Verena Jasmin Hallitschke
Verena Hallitschke is interested in advancing language-based interactions with medical images, as it is the most intuitive form of communication. She…
Dr. Ziwei Huang
Ziwei Huang is a scientific software developer at the Hertie AI. Previously, he studied psychology in China and neuroscience in Norway and Germany. He…
Julius Gervelmeyer
Julius Gervelmeyer uses machine learning to investigate the time-course of Age-related Macular Degeneration. He is a PhD student and a scholar of the…
Dr. Samuel Ofosu Mensah
Samuel Ofosu Mensah develops deep learning models for medical images, with a focus on disease detection in retina images and federated learning. He is…
Sarah Müller
Sarah is a Ph.D. student in the Department of Data Science at the Hertie Institute for AI in Brain Health at the University of Tübingen, an IMPRS-IS…
Alumni
Indu Ilanchezian
Indu Ilanchezian was a Ph.D. student in the Department of Data Science at the Hertie Institute for AI in Brain Health at the University of Tübingen…
Patrick Köhler
Patrick was a PhD student in the Department of Data Science at the Hertie Institute for AI in Brain Health at the University of Tübingen and worked…
Dr. Lisa Koch
Lisa Koch was a group leader for machine learning in medical diagnostics in the Department of Data Science at the Hertie Institute for AI in Brain…