• Institute of AI for Health
  • Helmholtz.AI

Welcome

Welcome to the website of the AIDOS LAB at the Institute of AI for Health, an institute of the Helmholtz Zentrum München! We are fascinated by discovering hidden structures in complex data sets, in particular those arising in healthcare applications.

Our primary research interests are situated at the intersection of geometrical deep learning, topological machine learning, and representation learning. We want to make use of geometrical and topological information—also known as manifold learning—to imbue neural networks with more information in their respective tasks, leading to better and more robust outcomes.

Following the dictum ’theory without practice is empty,’ we also develop methods to address challenges in biomedicine or healthcare applications. Of particular interest are the analysis of MRI data sets to improve our understanding of human cognition and neurodegenerative disorders, as well as the analysis of multivariate clinical time series to detect and prevent the onset of sepsis or myocardial ischemia.

About

‘AIDOS’ has two meanings that complement each other well. The first meaning refers to our mission statement, viz. to develop Artificial Intelligence for Discovering Obscured Shapes. The second meaning originates from the Greek word ‘αἰδώς,’ which means ‘awe,’ ‘reverence,’ or ‘humility.’ This awe or humility should serve as one of our guiding principles when we work on challenging problems in healthcare research, aiming to improve our world using machine learning.

Members & Collaborators

Bastian Rieck

Bastian Rieck
Principal Investigator

Julius von Rohrscheidt

Julius von Rohrscheidt
Ph.D. Student

Jeremy Wayland

Jeremy Wayland
Ph.D. Student

Ernst Roell

Ernst Roell
Ph.D. Student

Katharina Limbeck

Katharina Limbeck
Ph.D. Student

Salome Kazeminia

Salome Kazeminia
Ph.D. Student

Sebastian Birk

Sebastian Birk
Ph.D. Student

Kalyan Varma Nadimpalli

Kalyan Varma Nadimpalli
M.Sc. Student

Adrien Aumon

Adrien Aumon
Visiting Researcher

Davide Buffelli

Davide Buffelli
Visiting Researcher

Francesco Conti

Francesco Conti
Visiting Researcher

Corinna Coupette

Corinna Coupette
Collaborator

Sebastian Dalleiger

Sebastian Dalleiger
Collaborator

Your name is missing here! Learn more about joining us below.

Alumni & Alumnae

  • Marek Cerny (now a Ph.D. student with Floris Geerts at the University of Antwerp)
  • Ferdinand Hölzl (now a master’s student at University of Hamburg)

Publications

Here are all publications of lab members, sorted by year. Publications appear in the order in which they are accepted.

Preprints

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

Join us

Thanks for your interest in our group! Why not consider joining the team? We are seeking students (at all levels) with strong quantitative backgrounds (computer science, mathematics, physics, …). You should be interested in working at the intersection of different fields and feel comfortable about writing code.

Since the group is still starting to establish itself, you have the unique opportunity to truly shape and influence things here.

We are not interested in ’leader-board science’ or ‘chasing the state-of-the-art’ in a table. That is not to say that we are not interested in producing relevant methods! Our overarching goal is to produce excellent science using methods whose performance we can explain and understand. This necessitates comprehensive comparisons with other methods, ablation studies, and many additional tricks to figure out what is going on. If this sounds enticing to you, we would love to hear from you!

To learn more about our working style, see this note for potential student collaborators.

Bachelor’s and master’s theses

If you are interested in writing your thesis with us, please send your CV, your transcript of records, and a brief cover letter stating your research interests to bastian.rieck@helmholtz-muenchen.de. Your cover letter should provide answers to the following questions:

  1. Are there any research papers of the group that pique your interest specifically? (You do not have to be an expert in the topic yet, of course!)

  2. Are you more comfortable working empirically, i.e. lots of implementations, experiments, and so on, or working theoretically, i.e. lots of proofs, derivations, and more?

  3. When would you be available for working on the thesis?

Ph.D. positions

If you are interested in working with us and have a background in mathematics, computer science, physics, or a general penchant for computational methods, please send your CV to bastian.rieck@helmholtz-muenchen.de for general inquiries on Ph.D. positions.

Research visits

If you are interested in a short-term research opportunity, such as a research visit over the summer, please reach out bastian.rieck@helmholtz-muenchen.de. We are particularly interested in stays that may result in long-term collaborations.

If you are looking for an internship, note that our institution does not permit paid internships. There are funding opportunities for such internships available; check out RISE or DAAD Scholarships in general.

How to find us

We are located at the Neuherberg Campus of Helmholtz Munich. Here is a map of the campus (click for larger version):

Map of how to find the lab

A map of the campus. We are located in the highlighted building, i.e. building 58a. The campus is best reached by taking metro U2 from Munich main station until Am Hart, then switching to bus 294 until Helmholtz-Zentrum.