Alexei Figueroa

Alexei Figueroa is a Researcher at the Data Science and Text-based Information Systems (DATEXIS) group at Berlin University of Applied Sciences and Technology. He has been actively contributing to NLP and healthcare-related AI research since February 2020, following the completion of his MSc in Data Science at the same institution.

His research interests span Natural Language Processing, Healthcare Informatics, Transformer Networks, and Knowledge Graphs. His work emphasizes clinical decision support, information retrieval, and deep learning for long-tail classification problems. He is involved in key projects such as INDREX, IDEL, and Smart-MD, focusing on in-database text mining and clinical NLP systems.

The recent publications reflect a strong trend in integrating domain knowledge into deep learning models, improving clinical outcome prediction, and enhancing transformer architectures for specialized tasks. His work bridges foundational NLP methods with real-world healthcare applications.

Scientific Awards:

• No awards listed in the provided text.

Advising and Grants: There is no mention of students advised or grants received. However, his active role in multiple research initiatives suggests involvement in collaborative, grant-funded projects.

Labs and Teams: Alexei is a core member of the DATEXIS research group, which conducts cutting-edge research in NLP, with a strong focus on healthcare applications, explainability, and benchmarking. The team develops systems like TASTY, SECTOR, and Smart-MD, demonstrating a strong applied research orientation.