We improve early diagnosis and prevention of diseases of the nervous system using artificial intelligence.
Jonas Beck
Mechanistic models allow to make precise and testable predictions about the underlying biophysical mechanisms that influence neural activity.
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.
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.
Dr. Sebastian Damrich
Annotated data is a scarce resource. Unsupervised and self-supervised learning techniques enable researchers to discover structure in unlabelled data sets.
Kerol Djoumessi
My best motivation is when I don't understand something or when something goes wrong.
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.
Dr. Ziwei Huang
I read it somewhere... that programming is like incantations: you speak out some arcane words, then magic happens.
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.
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.
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.
Chiu Yi Lam
Being a member of the rapidly expanding and dynamic research team brings me exciting new challenges and opportunities for professional growth.
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?
Dr. Samuel Ofosu Mensah
My research aims to develop cutting-edge deep learning models for disease detection in retina images.
Sarah Müller
Generative models can help us understand and explore the main factors of variation in medical images.
Ifeoma Veronica Nwabufo
Being able to contribute to the well-being of people using Data Science is fulfilling.
Dr. Jonathan Oesterle
The retina is the perfect tissue to study the marvels of the central nervous system.
Lisa Schmors
I am interested in the fundamental principles of neural coding in larger networks and neural populations.
Fabio Seel
The interdisciplinary work at the intersection of AI and Neuroscience makes it an exciting field of research: Understanding how the eye processes information inspires new approaches in computer vision and vice versa.
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.
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
News
During the first week of July 400 academic researchers as well as corporate representatives gathered at the Sorbonne University in Paris to discuss recent advances in Medical Image Deep Learning. Patrick Köhler, who went there alongside his…
News
Lisa Schmors and Fabio Seel attended the AREADNE 2024 conference on the Greek island of Milos from June 25-28, fostering deep engagement through its unique program, interactive poster sessions, and exceptional presentations. They shared their…
News
The International Conference on Learning Representations (ICLR) is one of the largest conferences in the field of machine learning, and thus a highlight in the calendar for researchers every year. This year, I had the pleasure of attending the…
News
New article in Nature Methods featuring insights from several experts including Philipp Berens and Dmitry Kobak from the Hertie Institute for AI in Brain Health AI, about how dimension reduction helps to visualize high-dimensional datasets and why…
Event
50 Jahre Gemeinnützige Hertie Stiftung. Das Hertie Institute for AI in Brain Health gratuliert! Wir freuen uns auf die Möglichkeit, die kommenden Jahrzehnte gemeinsam mit der Gemeinnützige Hertie-Stiftung gestalten zu dürfen!
News
What is everyday life like for doctoral students? Daniel Hölle, Philipp Hubert and Hertie AI PhD student Lisa casually interview doctoral students about their research research, dreams and problems in a monthly podcast.
Highlights
May 02, 2024
New "I am Scientist" Podcast episode about mental health of PhD students
What is everyday life like for doctoral students? Daniel Hölle, Philipp Hubert and Hertie AI PhD student Lisa casually interview doctoral students about their research research, dreams and problems in a monthly podcast.
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…
Join the Hertie AI team as PhD student!
If you want to join the Hertie Institute for AI in Brain Health as a PhD student, apply via one of the two International Max Planck Research Schools (IMPRS) or contact the Hertie AI directors.
The Department of Data Science (Prof. Dr. Philipp Berens) is recruiting PhD candidates in machine learning for medical imaging, neurogenomics and neuronal modeling.
Include a short letter of motivation, your CV and transcript.
We are looking forward to hearing from you!
Our Institute
With the Hertie Institute for AI 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.
Mit dem Hertie Institute for AI in Brain Health (Hertie AI) entsteht in Tübingen ein deutschlandweit einzigartiges Institut, das sich mit Hilfe von Methoden der Künstlichen Intelligenz mit der Früherkennung von Erkrankungen des Nervensystems und deren Prävention beschäftigt.
Find out more / Über das Hertie AI
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