Christian Post

Christian Post is a research associate at the Institute of Animal Breeding and Animal Husbandry, part of the Christian-Albrechts-University of Kiel. His work focuses on applying machine learning and sensor systems to monitor and predict health disorders in dairy cows and swine, particularly through automated detection of diseases and precision livestock farming. He is also involved in environmental sustainability projects like pigNplay, which simulates nitrogen emission reduction strategies in swine farming.

• Doctorate in Agriculture from University of Bonn
• Master's and Bachelor's in Agriculture and Food Management from Osnabrück University of Applied Sciences

His research interests span machine learning applications, sensor technology, and informatics in livestock systems. Recent work includes:

• Deep convolutional neural networks for calf disease detection
• Benchmark datasets for automated pig detection
• Comparative modeling of lameness and mastitis prediction