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Thorbjörn Sievert is a postdoctoral researcher at Aarhus University in the Department of Animal and Veterinary Sciences. His research expertise lies in behavioral ecology and animal behavior, focusing on applying machine learning techniques to automate the analysis of large video datasets. He has a strong background in mammalian odor research and is currently working on projects that involve using DeepLabCut, a machine learning framework for behavioral analysis. Sievert's work aims to enhance the understanding of animal behaviors by reducing observer bias and improving the granularity of behavioral data analysis. He actively collaborates on research topics that combine insights from behavioral ecology and applied machine learning, contributing to developing automated methods for extracting insights from extensive datasets. The unique fingerprints of his research reflect his contributions across various projects, showcasing a commitment to advancing the field of animal behavior through innovative technology.
Aarhus University • Tjele, Denmark
Conducting research in behavioral ecology using machine learning techniques for analysis of animal behavior.
Department of Computer Science offers tracks in Software Efficiency, Cryptography, and Data Science.