We improve early diagnosis and prevention of diseases of the nervous system using artificial intelligence.

Portrait of Jonas Beck, Hertie AI

Jonas Beck

Mechanistic models allow to make precise and testable predictions about the underlying biophysical mechanisms that influence neural activity. 
Portrait of Philipp Berens from Hertie AI

Prof. Dr. Philipp Berens

We apply machine learning algorithms to enable and accelerate discoveries in neuroscience and ophthalmology, which will ultimately allow us to diagnose diseases earlier and treat them better. 
Portrait of Jan Niklas Böhm from Hertie AI

Jan Niklas Böhm

Let’s try to make sense of data by mapping it into two dimensions. 

Dr. Christina Bürger

Working at Hertie AI allows me to contribute towards achieving our vision, fostering innovative research, collaboration, and international recognition in the dynamic field of artificial intelligence. 
Portrait of Sebastian Damrich from Hertie AI

Sebastian Damrich

Annotated data is a scarce resource. Unsupervised and self-supervised learning techniques enable researchers to discover structure in unlabelled data sets. 
Portrait of Kerol Djoumessi from Hertie AI

Kerol Djoumessi

My best motivation is when I don't understand something or when something goes wrong. 
Portrait of Julius Gervelmeyer from Hertie AI

Julius Gervelmeyer

Machine learning applications have the real potential to aid clinical practice. 
Portrait of Rita González Márquez from Hertie AI

Rita González Márquez

Visualization techniques are able to capture aspects of the data that would not be easily observable with other analysis methods and are therefore great tools for data exploration. 
Portrait of Huang Ziwei, Hertie AI

Dr. Ziwei Huang

I read it somewhere... that programming is like incantations: you speak out some arcane words, then magic happens. 
Portrait of Indu Ilanchezian from Hertie AI

Indu Ilanchezian

To harness the power of AI in real world clinical situations, an explanation of their decisions is of utmost importance. 
Portrait of Kyra Kadhim from Hertie AI

Kyra Kadhim

I enjoy working with people from all different backgrounds and walks of life to tackle fundamental problems in computational neuroscience such as how visual information is processed in biological systems. 
Portrait of Dimitry Kobak, Hertie AI

Dr. Dmitry Kobak

Unsupervised data exploration plays an important role in many areas of science and becomes increasingly crucial as collected datasets grow in size and complexity. 
Portrait of Lisa Koch from Hertie AI

Dr. Lisa Koch

Trustworthy AI will transform patient care in the coming years. In our research, we make sure that AI-enabled healthcare is safe and provides real benefit to patients and clinicians. 
Portrait of Patrick Köhler from Hertie AI

Patrick Köhler

Trustworthy AI requires carefully designed validation procedures that are tailored to the exact use case at hand. 

Chiu Yi Lam

Being a member of the rapidly expanding and dynamic research team brings me exciting new challenges and opportunities for professional growth. 
Portrait of Jan Lause from Hertie AI

Jan Lause

Statistical models of the RNA sequencing process help me to understand why two brain cells show different gene activity. Is the difference just a coincidence, or a sign of new, exciting biology? 
Portrait of Samuel Ofosu Mensah from Hertie AI

Samuel Ofosu Mensah

My research aims to develop cutting-edge deep learning models for disease detection in retina images. 
Portrait of Sarah Müller from Hertie AI

Sarah Müller

Generative models can help us understand and explore the main factors of variation in medical images. 
Portrait of Lisa Schmors from Hertie AI

Lisa Schmors

I am interested in the fundamental principles of neural coding in larger networks and neural populations. 
Portrait of Sacha Sokoloski from Hertie AI

Dr. Sacha Sokoloski

Modern datasets are massive, and the models we apply to them are complex and difficult to decipher. Simple, principled theories are not things of the past, but more important than ever. 
Portrait of Sarah Strauß from Hertie AI

Sarah Strauß

Data analysis and modeling approaches can facilitate our understanding of biological processes. 

Departments & Research Groups

Data Science

We generate knowledge from data in neuroscience and ophthalmology using machine learning algorithms, mechanistic modeling and data visualization. We integrate multimodal data to uncover the principles of how the nervous system works and how diseases can be better diagnosed and treated.
Research Groups

Representation Learning and Data Visualization

We develop machine learning tools for visualizing high-dimensional data such as single cell transcriptomics, clinical images, or scientific texts.

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.

Neuronal Modeling

We gain insights into the healthy and diseased nervous system by developing using computational models.

News & Events

From 9/17-9/20, the European Retina Meeting will bring the international retina community to Tübingen to discuss recent progress in basic and clinical retina research.
The kick-off symposium of the Tübingen AI Center will take place on July 18 with a visit of Secretary of State Jens Brandenburg featuring work of Hertie AI scientists Rita and Indu
Jul 18, 2023
I. lanchezian, R. Gonzalez-Marquez, P. Berens
The yearly “ML in Science”-conference of the Excellence Cluster “Machine Learning” is taking place July 11/12, featuring the work of Hertie AI scientists Kyra, Jonas and Sarah!
The Hertie Institute for AI in Brain Health (Hertie AI) has been established at the University of Tübingen, marking the start of the first institute in Germany to explore the intersection of artificial intelligence (AI) and neurology. Hertie AI aims…
The Department of Data Science is offering multiple positions for PhD candidates in Machine learning for medical imaging, neurogenomics and neuronal modeling to start as soon as possible.
Jul 02, 2023
New paper “Sparse activations for interpretable disease grading” by K. Djoumessi et al. has been presented at the MIDL conference!


Jun 16, 2023

Browsing the landscape of biomedical research from a birds-eye perspective

Based on an AI-based analysis of more than 20,000,000 paper abstracts using large language models, researchers at Hertie AI have created an interactive online platform in collaboration with Nomic AI that allows a bird’s-eye view of the entire…
Jul 04, 2023

Hertie Institute for AI in Brain Health: Pioneering Future Research in Tübingen

The Hertie Institute for AI in Brain Health (Hertie AI) has been established at the University of Tübingen, marking the start of the first institute in Germany to explore the intersection of artificial intelligence (AI) and neurology. Hertie AI aims…

Join our team

The Department of Data Science (headed by Prof. Dr. Philipp Berens) is offering multiple positions for PhD candidates (75%, TV-L E13, m/f/d) in Machine learning for medical imaging, neurogenomics and neuronal modeling  to start as soon as possible. The positions will be initially limited to three years with possible extension. 

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Our Institute

With the "Hertie Institute for Artificial Intelligence in Brain Health" (Hertie AI), an institute is being established in Tübingen that is unique in Germany and focuses on the early diagnosis of diseases of the nervous system and their prevention with the help of artificial intelligence methods.

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