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

Data Science

Jonas Beck

Mechanistic models allow to make precise and testable predictions about the underlying biophysical mechanisms that influence neural activity. 

Data Science

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. 

Data Science

Jan Niklas Böhm

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

The Institute

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. 

Data Science

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. 

Data Science

Kerol Djoumessi

My best motivation is when I don't understand something or when something goes wrong. 

Data Science

Julius Gervelmeyer

Machine learning applications have the real potential to aid clinical practice. 

Data Science

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. 

Data Science

Dr. Ziwei Huang

I read it somewhere... that programming is like incantations: you speak out some arcane words, then magic happens. 

Data Science

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. 

Data Science

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. 

Data Science

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. 

The Institute

Chiu Yi Lam

Being a member of the rapidly expanding and dynamic research team brings me exciting new challenges and opportunities for professional growth. 

Data Science

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? 

Data Science

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. 

Data Science

Sarah Müller

Generative models can help us understand and explore the main factors of variation in medical images. 

Data Science

Ifeoma Veronica Nwabufo

Being able to contribute to the well-being of people using Data Science is fulfilling. 

Data Science

Dr. Jonathan Oesterle

The retina is the perfect tissue to study the marvels of the central nervous system. 

Data Science

Lisa Schmors

I am interested in the fundamental principles of neural coding in larger networks and neural populations. 

Data Science

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. 

Data Science

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

A brief summary of ICML 2024

News

Learn more about the ICML 2024 in Vienna from the point of view of Hertie Ai PhD student Jonas.

Widening Perspectives at MIDL 2024 in Paris

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…

AREADNE 2024

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…

Attending the 2024 International Conference on Learning Representations (ICLR) in Vienna

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…

Seeing data as t-SNE and UMAP do

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…

50 Jahre Gemeinnützige Hertie Stiftung- Hertie AI gratuliert!

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!

Show all News & Events

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…

Research Group "Representation Learning and Data Visualization"., Hertie AI

May 30, 2023

Interview with Philipp Berens: Introducing the Hertie Institute for AI in Clinical Brain Health

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.

Find out more / Über das Hertie AI

Join the Hertie AI team as a AI HPC Cluster Engineer (f/m/d)

Are you passionate about AI and neuroscience?
The Hertie Institute for AI in Brain Health🧠 in Tübingen is seeking an 🖥 HPC/AI Specialist 🖥 to help advance brain health through AI!

You'll play a vital role in enhancing the local state-of-the-art infrastructure and collaborating with researchers to develop AI solutions for neuroscience. If you have a strong background in computing and a drive to innovate, we'd love to connect with you!
Interested?

Learn more and apply