Since 1993,
Since 1993, our research group has been at the forefront of machine learning, artificial intelligence, and statistical modeling, with a strong focus on applications in analytical chemistry, particularly within the field of chemical and sensory science.
We combine cutting-edge computational techniques with domain expertise to explore and solve real-world problems in food quality, sensory evaluation, and chemical profiling.
Our philosophy is centered on open science and knowledge sharing. That’s why we make our Software algorithms, Datasets, and Theses freely available to the public.
We also maintain an active news section, where we share updates on ongoing research, new software tools, educational videos, and YouTube content.
We’re proud of the work we do and committed to making it accessible to the broader scientific and food-tech community.
– Enjoy!
Say hello to
Rasmus Bro
Åsmund Rinnan
Franciscus Van Der Berg
Morten Arendt Rasmussen
Jesper Løve Hinrich
Beatriz Quintanilla Casas
Paul-Albert Schneide
Mansi Goel
Victor Cardoso
Berta Torres Cobos
Jokin Ezenarro Garate
Chemometrics
“As our field is data analysis, our basic research is concerned with statistics, artificial intelligence, mathematical optimization and machine learning, but it is also tied to the physical- and chemical nature of the data observed. In short, chemometrics.“
The Data Analytics Group:
The Data Analytics Group at UCPH FOOD has over 30 years of experience in applying advanced computational methods to food and chemical data. Our goal is to develop methods and tools that can monitor and improve food production processes, reveal hidden patterns in large, complex datasets, and support innovation in food science and health research.
Core competences
Process monitoring
We work with process analytical technology, quality by design and statistical process chemistry as well as process monitoring to improve, optimize, monitor and ensure the quality in food production. We run a specialized MSc in this area and we are directly linked to the research section developing dedicated measurement technologies (Food Analytics and Biotechnology).
Metabolomics
We work with metabolomics especially in relation to health, gastronomy and food quality to better understand e.g. physical properties of food and we are directly linked to the research section involved in data collection and experimental designs of metabolomic studies (Food Analytics and Biotechnology).
Spectroscopy
We work with many types of advanced analytical instruments such as near-infrared spectroscopy, fluorescence, nuclear magnetic resonance, chromatography etc. We develop specialized software and algorithms for extracting information from such data and software/algorithms that we freely share.
