Jan Scholtes

Jan Scholtes serves as an Extraordinary Professor and Professor within the Department of Advanced Computing Sciences at the Faculty of Science and Engineering. His academic profile spans computational linguistics, machine learning, and health informatics with 34 total research outputs including 20 conference articles, 7 journal publications, and 6 working papers.

His research centers on machine translation systems, particularly context-aware and simultaneous translation architectures, neural information retrieval optimization, and healthcare applications of graph neural networks. Key contributions include pronoun disambiguation mechanisms in neural translation models, relevance feedback strategies for recall-oriented retrieval systems, and clinical text analysis for intensive care settings. His work consistently bridges theoretical machine learning advances with practical implementations in nutrition science and medical informatics.

Recent publications (2024-2025) reveal a pronounced shift toward interdisciplinary health applications while maintaining core strengths in language technology. His research demonstrates increasing integration of graph neural networks for food substitution systems and clinical documentation analysis, alongside continued innovation in low-latency translation frameworks. The publications exhibit strong methodological rigor with consistent peer-reviewed validation across computational linguistics and medical informatics venues.