Dr. Jasmeet Kaler

Professor Jasmeet Kaler is an internationally recognized expert in veterinary epidemiology and precision livestock informatics. Originally trained as a veterinarian in India, she moved to the UK to pursue a Master's in Veterinary Epidemiology at the Royal Veterinary College, followed by a PhD at the University of Warwick on the epidemiology of lameness in sheep. She joined the University of Nottingham’s School of Veterinary Medicine and Science in 2010, where she is now a Professor and Ruminant Population Health Strategic Research Area Leader.

Jasmeet's research focuses on using big data to improve livestock health, welfare, and productivity. Her work bridges epidemiology, data science, and animal behavior—leveraging predictive modeling, precision livestock sensor technologies, and stakeholder decision-making tools. She is Chair of the School’s Athena SWAN SAT, advocating for equity and inclusion in science.

Her innovative contributions to animal welfare have earned her the Young Animal Welfare Scientist of the Year Award (UFAW, 2015) and runner-up in the Scopus Young Researcher Award in Health and Medical Sciences (2011).

Jasmeet teaches across years 1 to 4 on cattle and sheep health and welfare, training the next generation of vets with a strong foundation in data-driven decision making. Her research has been widely published in journals like Preventive Veterinary Medicine, PLoS ONE, and Animal Welfare.

As a pioneer in farm epidemiology and precision agriculture, Jasmeet is shaping the future of sustainable livestock farming through research, education, and innovation.

KEYNOTE TOPICS

• The Future of Animal Well-Being: Accelerating Tech Adoption with AI and Smart Data Insights
• Machine learning and AI for precision livestock health and welfare: Current Trends and Future Outlook
• What does “Big” tech and data offers to precision livestock farming?
• Calf health, welfare and personality: Novel use of Sensors and Imaging
• Improving animal health and welfare: Technology, algorithms and decision making
• Decision making for animal health and welfare: farmers, vets and consumers perspectives
• Application of Precision Medicine, AI, genomics and the use of data for animal health and welfare