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

Dr. 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 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

Dr. 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 Ifeoma Veronica Nwabufo from Hertie AI

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. 

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. 
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. 

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
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…
May 24, 2024
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!
May 23, 2024
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.
May 02, 2024
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.

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.
News
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!

Department of Data Science

IMPRS for Intelligent Systems

IMPRS for the Mechanisms of Mental Function and Dysfunction

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.

 

 

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