MOHIP Webinar #21: Unlocking One Health Capabilities with AI_ML_ Scaling up Systems, Processes, and Workforce

AI is transforming One Health by enabling faster, more integrated pandemic preparedness, detection, and response across human, animal, and environmental health. Advanced tools like machine learning and data fusion make it possible to monitor, verify, and model outbreaks using diverse data streams. However, technology alone isn’t enough, where building an AI-ready workforce is critical. Public Health professionals must develop both technical skills and critical thinking to effectively use, question, and guide AI tools. Only through cross-disciplinary training can we fully realize AI’s potential to scale and strengthen One Health systems.

Speakers: 

Dr. Onicio B. Leal Neto is an Assistant Research Professor of Digital Epidemiology at the University of Arizona, specializing in the intersection of AI, data science, and public health. His work focuses on developing innovative digital public health systems, advancing pandemic preparedness, and fostering cross-disciplinary collaboration to build resilient public health infrastructures.

Dr. Tongkorn Meeyam is the Executive Director of the Southeast Asia One Health University Network (SEAOHUN) Secretariat, a role she assumed in April 2024 after serving as Deputy Project Director since May 2023. In this leadership position, she is committed to advancing regional collaboration and capacity-building in One Health—a multidisciplinary approach that integrates human, animal, and environmental health.