Maj Beldring Henningsen

Maj Beldring Henningsen is a Researcher and PhD fellow at the Department of Veterinary and Animal Sciences, University of Copenhagen. She holds an M.Eng in Bioinformatics and Systems Biology and a B.Eng in Biomedical Engineering. Her work focuses on veterinary epidemiology and registry data analysis, with affiliations in both Animal Welfare and Disease Control and Veterinary Clinical Microbiology research groups.

Her research applies quantitative methods including epidemiology, statistical modelling, and data science to improve dairy cattle health. Primary interests include:

• Antibiotic usage patterns and stewardship in livestock
• Somatic cell count analysis for early mastitis detection
• Registry-based disease surveillance systems
• Biostatistical methods for veterinary applications

Publications demonstrate consistent focus on dairy cattle health optimization through national registry analysis. Recent works cluster around: (1) antimicrobial usage reporting validation, (2) somatic cell pattern recognition for infection detection, and (3) evidence-based dry-off treatment protocols. This corpus reflects expertise in transforming agricultural datasets into preventive health strategies.

Awards and recognition:

• 1st prize for most innovative Datathon project (2021) for developing data-driven veterinary solutions

No information is available regarding student advising, research grants, or laboratory leadership roles at this time.