Summary
Miel Hostens is the Robert and Anne Everett Associate Professor of Digital Dairy Management at Cornell and Chair of the ICAR Dairy Cattle Milk Recording Working Group, bringing 11 years of experience at the intersection of veterinary science, data analytics, and dairy management. Trained as a veterinarian with a PhD and an MSc in Statistical Data Analysis from Ghent University, he translates complex animal-health and farm-recording challenges into data-driven solutions. His work spans academia and international standards-setting, shaping how milk recording and digital herd management integrate with analytics. Based in Ithaca, he combines rigorous statistical training with hands-on veterinary insight to improve on-farm decision making and data quality. Notably, his career bridges European academic roots and U.S. applied research, giving him a rare perspective on global dairy data practices.
11 years of coding experience
Master of Science in Statistical Data Analysis, Computational statistics, Master of Science in Statistical Data Analysis, Computational statistics at Universiteit Gent
Latijn - wetenschappen, Latijn - wetenschappen at Sint-Lievenscollege Gent
French, English, German, Italian