Ben Blair was raised in Sparta, Illinois, where he grew up helping on his family’s corn, soy, wheat, and farrow-to-finish farm. He always enjoyed the numbers behind how things worked, which led him to study engineering at Southern Illinois University Carbondale. After finishing his engineering degree, he felt the pull back toward animal health and entered the University of Illinois College of Veterinary Medicine.

Following a short time in clinical practice, he returned to Illinois to complete a PhD with Dr. Jim Lowe. His work focused on the cull sow marketing network and strengthened his interest in advanced analytics, machine learning, and applying AI to livestock systems. He then spent two years at the University of Minnesota as a researcher while also running a consulting business centered on data and AI projects in agriculture.

In 2023 Blair returned to the University of Illinois, where he now serves as an assistant professor in Livestock Health. His research combines infectious disease modeling with practical applications of AI in veterinary medicine and modern farming.

He lives in Villa Grove, Illinois, with his wife Cathy and their three children, Charlie, Liz, and Lincoln.

• How AI really works — breaking down machine learning, computer vision, and language models in everyday terms.
• Why the swine industry needs “homegrown” AI solutions that understand how farms truly operate.
• The biggest challenges holding back AI adoption in ag — from messy data to slow decision-making.
• How “crawl, walk, run” thinking can help farms start small with AI before chasing advanced automation.
• Ben’s “golden nugget.”