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Personal profile


Andreas Baum’s research focuses on different aspects of high-dimensional data. His interests include a variety of supervised and unsupervised machine learning techniques with special emphasis on chemometrics, latent variable space methods and industrial image analysis. His research applications typically involve data from analytical chemistry, spectroscopy, remote sensing and industrial processes.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy

External positions

Industrial Postdoc, Foss A/S

1 May 201531 Dec 2015

Industrial Postdoc, Foss A/S

1 Jun 201330 Sept 2013


  • User defined:
  • Industrial Image Analysis
  • Spectroscopy
  • Machine learning/AI
  • Chemometrics


Dive into the research topics where Andreas Baum is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years

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