Understanding the eye through data — from single synapses to population-scale disease.
Our team members
Our team combines expertise in machine learning, biophysical modeling, and clinical data analysis with deep domain knowledge in neuroscience and ophthalmology. We are embedded in Tübingen's rich ecosystem for machine learning research, with graduate students affiliated with the IMPRS for Intelligent Systems, the GTC Neuroscience and the ELLIS PhD program. We collaborate closely with the Tübingen AI Center, the Center for Digital Health, the Department of Ophthalmology, experimental neuroscience labs, and international partners including AIMS RIC, Rwanda and The MRC Unit The Gambia.
Leadership
Prof. Dr. Philipp Berens
Philipp Berens is Director of the Hertie Institute for AI in Brain Health and Full Professor of Data Science at the University of Tübingen. He is…
Dr. Sacha Sokoloski
Dr. Sacha Sokoloski is a group leader for Neuronal Modeling in the Department of Data Science at the Hertie Institute for AI in Brain Health at the…
Team
Jonas Beck
Jonas Beck is interested in probabilistic inference in mechanistic models of neuroscience. More specifically, he applies probabilistic numerical…
Kerol Djoumessi
Kerol Djoumessi designs deep learning models for medical image analysis that are interpretable by design, with applications in ophthalmology. He is a…
Dr. Simone Ebert
Simone Ebert studies how inhibition shapes early visual processing in the retina. She is a PostDoc in the Department of Data Science. Before joining…
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…
Rita González Márquez
Rita González Márquez uses machine learning to learn meaningful representations of text data, and to explore what makes a representation good in the…
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…
Kyra Kadhim
Kyra Kadhim studies how the brain processes visual information, starting from the very first synapses in the retina. In the past, she worked on…
Dr. Jan Lause
Jan Lause works on neural computations in the retina, especially how the enigmatic group of amacrine cells shapes the signals that the retina sends to…
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…
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…
Dr. Jonathan Oesterle
Jonathan Oesterle studies the signal processing of the inner retina, with a focus on regional differences that may reflect task-specific adaptations.…
Camila Roa
Camila Roa uses self-supervised learning to build representation spaces for retinal image datasets, and then visualises them in 2D using neighbor…
Dr. Lisa Schmors
Lisa Schmors is interested in the potential synergies between neuroscience and machine learning (NeuroAI). She received her Ph.D. from the University…
Fabio Seel
Fabio Seel asks whether the retina follows an efficient coding strategy, whether the importance of a stimulus shapes our vision, and how the natural…
Harini Sudha J G
Harini Sudha uses Deep Learning to uncover fundamental principles of retinal perception across species. She is a PhD researcher at the Hertie AI and a…
Aleksejs Timčenko
Alex Timčenko decodes visual stimuli from brain data by following the latent neural trajectories of cell populations. He is a PhD student at Hertie AI…