The Copenhagen Chemometrics Group
We have been at the cutting edge of machine learning, artificial intelligence and good old statistics. We apply these tools to analytical chemistry quite often within the field of food science.
We produce a lot of good stuff!
And we always strive to share as much as possible.
Therefor you will be able to download our software algorithms, data sets and theses, all for free!
You can also follow our news side, where we will be posting about our newest research and youtube products.
Say hello to
Franciscus Van Der Berg
Morten Arendt Rasmussen
Jesper Løve Hinrich
“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 Department of Food Science at the University of Copenhagen (UCPH FOOD)
has been doing research on machine learning (ML) and artificial intelligence (AI) for more than 25 years. The application of these tools in the food industry and food chemistry is called chemometrics. We analyze food samples and get huge amounts of data that can be used for solving complex problems and uncovering completely new phenomena.
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).
We work with metabonomics 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 metabonomic studies (Food Analytics and Biotechnology).
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.