Kristina Yordanova leads the newly founded Institute of Data Science and is the head of the research group "Data Science". Her research interests include artificial intelligence, data science, and natural language processing with applications in assistive systems, behaviour analysis and understanding.

Josephine Thomas leads the newly founded research group "Machine Learning". Her research interests are in the development of machine learning methods, especially graph neural networks.

Kathrin Birkner is the secretary for the Institute of Data Science.

Philipp Adämmer is a scientific researcher with a focus on financial econometrics and machine learning, text mining and big data. His teaching activities aim at providing students from different faculties of social sciences and humanities with a deeper understanding and competence in data science.

Alexander Scheuerlein is a scientific researcher with focus on statistical methods for applied zoology and nature conservation. His teaching activities aim to bring basic understanding and competency in data science to the bachelor students from different bachelor programs.

Alexandra Moringen is a lecturer and a scientific researcher interested in interdisciplinary approaches to modeling complex cognitive behaviors for robots and humans. In particular, she is interested in approaches that allow modeling and inference in the domains where only a small number of (multimodal) data points can be acquired. 

Sumaiya Suravee is a scientific researcher who works on the BMBF project eDEM-Connect. Her research interests lie in information extraction from informal written documents, Learning semantic structure from text, ontology development, annotation scheme development, Natural language processing and Machine learning.

Teodor Stoev is a scientific researcher who works in the DFG project BehavE. His research interests include knowledge-based models, domain knowledge extraction, heterogeneous data, sensor data analysis, machine learning, and artificial intelligence.

Dipendra Yadav is a scientific researcher investigating methodologies for keyword extraction and clustering inorder to identify research trends. His current research interest lies in Explainability Methods for Large Language Models.

Mostafa Razavi Ghods is scientific researcher, focusing on AI-driven behavior analysis in Human-Robot Interaction using multimodal data and large language models.

Anna Hiemenz is a scientific researcher in the GAIN group investigating the theoretical foundations of graph neural networks and tackling challenges such as oversmoothing, oversquashing, expressivity, and explainability.

Enya Blohm-Sievers is a scientific researcher in the GAIN group working on physics-informed neural networks, applying deep learning to solve complex physical differential equations grounded in her background in theoretical physics and philosophy of physics.

Robert Wagner is an external PhD candidate who works at the Leibniz Institute for Plasma Science and Technology. His research topic involves data science and data management, with a focus on FAIR data workflow implementation, ontology design and structured metadata acquisition.

Dr. Samaneh Zolfaghari

Florian Wagner

Alexandru Umlauft

Dr. Martin Aleksandrov