Jan Frick

Jan Frick is a Researcher at the Data Science and Text-based Information Systems (DATEXIS) group at Beuth University of Applied Sciences Berlin, starting in May 2024. He holds a Bachelor's degree in Electrical Engineering and Information Technology from Hannover University of Applied Sciences (2018) and a Master's in Media Informatics from BHT Berlin.

His research focuses on Digital Health, leveraging Deep Learning and NLP techniques. Notable work includes his master's thesis on "Kidney Graft Loss Prediction leveraging Multimodal Health Records", conducted in collaboration with DATEXIS and Charité. Previously, he worked as a data scientist at Curalie, a medical technology company.

He contributes to projects such as Clinical Outcome Prediction, Assertion Detection in Clinical Notes, and Contextualized Document Representations for Healthcare. His work aligns with DATEXIS' broader initiatives in NLP applications for healthcare and in-database text mining.

While no specific awards or grants are listed, his involvement in interdisciplinary research bridges academic and clinical domains, reflecting a focus on practical healthcare solutions.