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

Philipp Adämmer is a scientific researcher with focus on financial econometrics and mechine learning, text mining, and big data. His teaching activities aim to bring basic understanding and competency in data science to the bachelor students from different bachelor programs.

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. 

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.

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.

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.