Assistant Professor in AI for Veterinary Sciences
Pablo Valdes-Donoso is an assistant professor of AI for veterinary sciences at the Faculté de Médecine Vétérinaire de l'Université de Montréal. He has years of experience working across different food production systems. He holds a DVM degree from the Universidad de Chile, a master's in Preventive Veterinary Medicine, a master's in Applied Economics, and a Ph.D. in Epidemiology from the University of California, Davis. His research focuses on understanding how economic incentives of production can affect animal, human, and environmental health. He routinely uses statistical tools, including machine learning, time series, network analysis, system dynamics, and regression models, to analyze health-related issues. He has participated in national and international conferences, led quantitative workshops, taught university courses, collaborated with researchers from various countries, and written several peer-reviewed publications and outreach articles.