Prof. Dr. Rafet Sifa is a Machine Learning professor at University of Bonn and the head of the Media Engineering Department at Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS). His current research focus is based on statistical data mining in the context of representation learning for a variety of industry applications involving behavioral analytics, medical informatics, accounting, digital forensics and text mining.

Dr. Lorenz Sparrenberg is a post-doctoral researcher and holds a PhD in natural sciences from RWTH Aachen University. At Fraunhofer FIT, Dr. Sparrenberg focused on cancer markers and multi-resistant germs, using single molecule detection methods as well as statistical approaches and machine learning. His interests now lie in research on large language models and the analysis of medical data. He also works as an independent data scientist and has substantial experience in industry.

Tobias Deußer is a Machine Learning and Natural Language Processing researcher at the University of Bonn and a Senior Data Scientist at Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS). He is pursuing his PhD in Machine Learning at the University of Bonn. Prior to starting his PhD, he worked as a Data Scientist at Ernst & Young, where he developed and deployed various machine learning solutions in a Finance context. His research focuses on developing new methods to leverage large language models (LLMs) to improve downstream tasks that are typically unsuited to be solved by such models and how we can use LLMs to solve real-world problems.

Maren Pielka is a Data Scientist at Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS) and a PhD Research Fellow in Machine Learning at the University of Bonn. Her research focus lies in Natural Language Processing (NLP) and Large Language Models (LLMs), with a particular interest in model compression and efficiency. For her PhD thesis, she studies different methods for integrating linguistic knowledge into LLM training. She finished her Master's in Computer Science at the University of Bonn in 2019. From 2020, she has been a full-time Data Scientist and worked in several NLP-related industry projects, for example on an AI-based tool for automated auditing.

Armin Berger is a Data Scientist at Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS) and a PhD Research Fellow in Machine Learning at the University of Bonn. His research is centered on Model Distillation, particularly its application in Natural Language Processing (NLP) and Large Language Models (LLMs). This focus on model compression facilitates the deployment of LLMs in resource-constrained environments and enhances data privacy. Before his tenure at Fraunhofer and the University of Bonn, he finished his Master of Data Science at Monash University in Melbourne, Australia, and gained experience in Data Science and Management Consulting at various companies, including KPMG and Porsche Consulting.