
Rasmus Bro shows how generative AI extends chemometrics by automating curation, linking analytical data with text knowledge, and improving interpretation.

Rasmus Bro is full professor at the Department of Food Science at the University of Copenhagen, where he leads one of the world’s largest chemometrics research groups. His work focuses on chemometrics, multivariate analysis, and the interpretation of complex chemical data, with applications in spectroscopy, metabolomics, process analytical technology, food science, and industrial analytics. His methods have been widely adopted in software and research across fields ranging from clinical studies to brewing and dairy analysis.