Explore Team Members by Research Interests

What is this page about?
This page allows filtering over the union set over all research interests specified in our group member's profiles. Members matching any of the selected interests will be displayed. Choosing a general interest like “Quantum Chemistry” will encompass all sub-categories within that field, e.g., “Computational Quantum Chemistry”.

What is this page's intended audience?
This page can be helpful for students seeking a Bachelor's or Master's thesis advisor aligned with their academic focus. For additional details on thesis opportunities, please visit our thesis request landing page. Furthermore, this page may be used by potential job applicants to identify group members of common interest.

Our primary Team page offers a different view of our team.

Automatic Differentiation

Explainable AI

Inverse Problems

ML for Physical Sciences

Molecular Dynamics

Neural ODEs

Adrian Hill

Doctoral Researcher

Digital Pathology

Graph Neural Networks

Multimodal Learning

Probabilistic ML

Representation Learning

Self-supervised Learning

Alexander Möllers

Doctoral Researcher

Anomaly Detection

Computer Vision

Deep Learning

Explainable AI

Natural Language Processing

Structured Prediction

Dr. Alexander Bauer

Postdoctoral Researcher

Bayesian Learning

Biomedical Sensing

Computational Neuroscience

Diffusion Models

Explainable AI

Inverse Problems

Neuroimaging

Probabilistic ML

Dr. Ali Hashemi

Postdoctoral Researcher

Biomedical Sensing

Biomedical Signal Processing

Computational Neuroscience

Independent Component Analysis

Kernel Methods

Speech and Audio Processing

Dr. Andreas Ziehe

Postdoctoral Researcher

Equations Learner (EQL)

Generative Models

Lattice Field Theory

ML for Physical Sciences

Renormalization Group Theory

Dr. Ankur Singha

Postdoctoral Researcher

Distributed Deep Learning

Explainable AI

Probabilistic ML

Dennis Grinwald

Doctoral Researcher

Biomedical Sensing

Computational Neuroscience

Functional Near-infrared Spectroscopy (fNIRS) Measurement and Analysis Techniques

Inverse Problems, Particularly FNIRS Image Reconstruction

Machine Learning Methods for Multimodal Sensor Data To Improve The Utilization Of Physiological Information During Data Analysis

Multimodal Learning

Dr. Eike Middell

Postdoctoral Researcher

Generative Models

ML for Physical Sciences

Quantum Chemistry (DFT, TDDFT, QM-MM, Fragment-based Quantum Chemistry)

Elron Pens

Doctoral Researcher

Diffusion Models

Generative Modelling

Information Theory

Inverse Problems

Multimodal Learning

Probabilistic ML

Scaling Laws

Fadli Damara

Doctoral Researcher

Efficient Machine Learning

Explainable AI

Generative Models

Farnoush Rezaei Jafari

Doctoral Researcher

Explainable AI

Higher-order Explanations

Kernel Methods

Methods for Explainable AI

Uncertainty Estimation

Florian Bley

Doctoral Researcher

Anomaly Detection

Hierarchical Learning

Model Distillation

Multimodal Learning

Probabilistic ML

Representation Learning

Robust Machine Learning

Self-supervised Learning

Unsupervised Learning

Florian C.F. Schulz

Doctoral Researcher

Expectation Estimation Incl. Kernel Mean Embeddings

High-Dimensional Statistics

Kernel Methods

Probabilistic ML

Hannah Marienwald

Doctoral Researcher

Anomaly Detection

Clustering

Explainable AI

Kernel Methods

Neural Networks

Unsupervised Learning

Dr. Jacob Kauffmann

Postdoctoral Researcher

Computer Vision

Diffusion Models

Generative Models

Inverse Problems

Large Language Models

Multimodal Learning

Normalizing Flows

Probabilistic ML

Score-based Models

Software for Machine Learning

Transformers

Jannik Wolff

Doctoral Researcher

Applications Of Machine Learning in Neuroscience

Biomedical Sensing

Computational Neuroscience

Electrophysiology

Modeling, Especially Behavioral Modeling

Reinforcement Learning

Dr. Johannes Niediek

Postdoctoral Researcher

Computational Neuroscience

Explainable AI

Graph Neural Networks

Language Education

Probabilistic ML

Johannes Maeß

Doctoral Researcher

Anomaly Detection

Computational Pathology

Digital Pathology

Explainable AI

Medical Image Analysis

Multimodal Learning

Representation Learning