Luis Tedeschi

Professional Summary

Dr. Luis O. Tedeschi is a globally recognized expert in ruminant nutrition and systems modeling, currently serving as a Professor in the Department of Animal Science and Texas A&M AgriLife Research. He is also an Adjunct Professor in the Department of Nutrition and Food Science. He received his bachelor’s degree in Agronomy Engineering from the University of São Paulo (Brazil) in 1991, his master’s degree in Animal and Forage Sciences in 1996, and his doctorate in Animal Science from Cornell University (NY) in 2001. Before joining Texas A&M University in 2005, Dr. Tedeschi was a Research Associate at Cornell University (NY) from 2002 to 2005.

His pioneering work integrates mechanistic nutrition models with artificial intelligence and machine learning to optimize livestock production, nutrient utilization, and environmental sustainability. Dr. Tedeschi is the developer of several influential models (https://nutritionmodels.tamu.edu), including the Ruminant Nutrition System (RNS), the Large and Small Ruminant Nutrition Systems (LRNS and SRNS), and the Cattle Value Discovery System (CVDS), which are widely adopted in academia and industry worldwide. He has been an active developer of submodels and a contributor to the Cornell Net Carbohydrate and Protein System (CNCPS).

Dr. Tedeschi teaches ANSC 415/615 Summer Study Abroad: Comparative Ruminant Production, ANSC 604 Ruminant Nutrition, ANSC 625 Precision Diet Formulation for Livestock, and ANSC 455/655 System Dynamics for Animal Science for undergraduate and graduate students. His research focuses on integrating scientific knowledge of ruminant nutrition that has been accumulated over the years to solve contemporary problems through mathematical modeling, specifically by adopting the System Dynamics methodology. This modeling methodology is used to build nutrition models and to understand the structure behind complex systems that govern the system’s behavior under different management policies. These nutrition models are being utilized as valuable tools for addressing current and future needs related to environmental pollution and resource scarcity through the development of efficient production systems.

His research portfolio spans feed evaluation, methane mitigation, microbial protein synthesis, and precision livestock farming, with a recent focus on integrating hybrid mechanistic–machine learning models, synthetic data generation, and quantum computing for predictive precision livestock nutrition. His areas of interest include the energy and nutrient requirements of grazing and feedlot animals, growth biology and bioenergetics, the chemical composition and kinetics of feed fermentation, modeling and simulation of decision support systems, and model evaluation (http://nutritionmodels.tamu.edu).

Dr. Tedeschi served as the lead modeler and co-author of the National Academies of Sciences, Engineering, and Medicine’s Nutrient Requirements of Beef Cattle (8th Revised Edition), a comprehensive update that reflects advances in ruminant nutrition and modeling. He currently chairs both the Nutrition Modeling Committee and the Climate-Smart Feed Management Committee of the National Animal Nutrition Program (NANP), where he leads national efforts to enhance modeling capacity and develop decision-support tools for sustainable animal production. He is also a permanent member of the Modeling Committee of the NANP (https://animalnutrition.org/), which was established to integrate and provide a systematic approach for sharing, collecting, assembling, synthesizing, and disseminating science-based knowledge, educational tools, and enabling technologies in animal nutrition that facilitate high-priority research across agricultural species.

Dr. Tedeschi has published over 310 manuscripts in peer-reviewed journals and book chapters, organized more than 15 symposia, and presented at over 130 conferences and workshops worldwide on the topic of modeling nutrition. Recognized for his scientific leadership and innovation, Dr. Tedeschi is helping redefine the role of digital and predictive tools in livestock production, bridging the gap between traditional nutrition science and the future of sustainable, precision animal agriculture.

Professional memberships include the American Society for Animal Science, the American Dairy Science Association, the Brazilian Society of Animal Science, the American Registry of Professional Animal Scientists, and the System Dynamics Society.

Publications

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