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.
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.
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
More than one million papers are published every year in the field of biomedicine and life sciences – an overwhelming volume. To help navigate through the literature, we created a map of the entire landscape of biomedical research using machine…
News
On Thursday, April 11, 2024, PhD Student Sara Müller attended the official EyeMatics kick-off event in Münster.
News
This study aimed to automatically detect epiretinal membranes (ERM) in various OCT-scans of the central and paracentral macula region and classify them by size using deep-neural-networks (DNNs)
News
Hertie AI team members from our research group "Representation Learning and Data Visualization" have developed a two-dimensional (2D) map to help navigate the complex landscape of the entire corpus of biomedical literature on pubmed.
News
In March 2024, PhD student Kerol Djoumessi had the great opportunity to attend the Doctoral Training School - Foundational Methods in Data Science Training School in Kigali, Rwanda as a tutor.
News
Read the report from PhD Student Jonas Beck about his participation in a Hackathon on imulation-based inference (SBI).
Highlights
Mar 04, 2024
Teaching Statistics in Gabon, Africa
Read more about the experience of Hertie AI researcher Lisa Schmors as a lecturer of Statistics in Gabon, Africa
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!
Join the MSc Program "Computational Neuroscience"!
Apply now to the MSc Master programs in neuroscience at the University of Tuebingen, in particular in computational neuroscience!
With a focus on machine learning, theoretical neuroscience and neural data analysis, it is a great program if you are curious about how to use machine learning and artificial intelligence to advance neuroscience and brain health.
Apply by 31st of March - we are looking forward to getting to know 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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