Bjoern Oest Hansen

Bjoern Oest Hansen has a diverse and extensive work experience in the field of agriculture and biological data analysis. Bjoern Oest has worked as a Sr. Research Lead - Knowledge Discovery at KWS Group, where they guided a team in utilizing advanced analytics, large language models, and graph technologies to improve plant breeding. Bjoern Oest also worked as a Research Lead, Senior Scientist, and Data Scientist at KWS Group, focusing on implementing solutions for gene discovery and developing data science strategies.

Before joining KWS Group, Bjoern worked as a PhD student at Max Planck Institute of Molecular Plant Physiology, where they worked with transcriptomics, biological networks, and graph theory for protein function prediction. Bjoern Oest also founded a company called OmicsDriven, specializing in handling and analyzing biological data using Neo4J graph-based databases and powerful algorithms.

In addition, Bjoern has held various positions such as Vice Chairman at JA - Jordbrugsakademikerne, Informatician within Medical Informatics at Universitätsmedizin Göttingen, Research Assistant at Humboldt-Universität zu Berlin, Vice Chairman at BIOSA - Biotech Students Association, Teachers Assistant at University of Copenhagen, Student Assistant at SCE Consult, and Intern at the Biochemistry department at University of Cambridge.

Bjoern Oest Hansen obtained a Bachelor of Science (BSc.) degree in Biology-Biotechnology from Den Kgl. Veterinær- og Landbohøjskole in 2009. Bjoern Oest then pursued a Master of Science (MSc.) degree in Biotechnology from Københavns Universitet - University of Copenhagen from 2009 to 2012. In 2010 to 2011, Bjoern attended Copenhagen Business School for the Biobusiness and Innovation Programme. Bjoern Oest also took a course in Pharmaceutical Bioinformatics at Uppsala University in 2011. Bjoern is currently working towards a Doctor of Philosophy (PhD) at MPI-MP/Potsdam University. Alongside their formal education, Bjoern Oest Hansen has obtained various certifications related to machine learning, project management, and Agile methodologies from LinkedIn, Neo4j, and Lynda.com.