The Data Science Lab.

We are dedicated to advancing the fields of machine learning and data science, with a particular focus on deep representation learning for sequentially ordered data such as biomedical time series and natural text. We research and develop cutting-edge methods to advance medical diagnostics and natural language technologies, while educating and mentoring the future generation of machine learning experts. We are located at the Aachen University of Applied Sciences, Germany.


๐ŸŽ‰ Our team's research on tackling data scarcity in sleep medical settings has been selected for both an oral presentation and a poster at ICLR 2024. Niklas will present his findings on Pretraining sleep staging models without patient dataโ€”opening new doors for deep learning in settings where time series data is limited. ๐Ÿš€

๐Ÿค“ Check out our newly published paper on finetuning large language models (LLMs) to decode political conversations in German parliamentary debates. 'Speaker Attribution in German Parliamentary Debates with QLoRA-adapted Large Language Models' offers a novel perspective on automated speaker attribution, facilitating the analysis of political interactions.

We congratulate Nils Wallenfang from the Fraunhofer Institute for Production Technology, who has successfully defended his Master's thesis. ๐Ÿฅ‚