Jan Halborg Jensen

Jan Halborg Jensen is a Professor in the Department of Chemistry at the University of Copenhagen, with a distinguished research career in computational chemistry and molecular modeling. His work spans quantum chemistry, cheminformatics, and machine learning applications in chemical research, with significant contributions to drug design, catalyst discovery, and chemical reaction prediction.

His primary research interests focus on Computational Chemistry, Molecular Modeling, and Quantum Chemistry, with particular expertise in applying machine learning techniques to chemical problems. Jensen's research integrates computational methods with practical chemical applications, including retrosynthesis planning, catalyst design, and drug discovery. His work bridges theoretical chemistry with practical applications in organic synthesis and pharmaceutical development.

Analysis of Jensen's recent publications (2023-2025) reveals a strong focus on machine learning applications in chemistry, particularly for predicting chemical reactivity, designing catalysts, and advancing drug discovery. His work demonstrates increasing integration of artificial intelligence with traditional computational chemistry methods, with significant contributions to cheminformatics, transition metal chemistry, and biomolecular simulation standards. The research spans theoretical developments and practical applications across organic chemistry, biochemistry, and materials science.

Jensen maintains an active research program with extensive publication output, including 88 research contributions comprising journal articles, book chapters, and books. His work shows strong collaborative networks across computational chemistry and related fields.

He has presented on educational technology topics, including a lecture titled "Make a difference - teach and learn with technology" in April 2018, demonstrating engagement with pedagogical developments alongside research activities. His online presence includes a professional blog (molecularmodelingbasics.blogspot.com) and comprehensive CV documentation.