Vasco Cadavez obtained his first degree in animal husbandry engineering in 1993 and his master’s degree in animal production with a specialization in feed and nutrition in 1998 at the Portuguese University of Trás-Os-Montes e Alto Douro. Following his novel research on carcass composition and quality using ultrasound, he obtained his Ph.D. degree in 2004. He is currently a Professor at the Animal Science Department of the Polytechnic Institute of Braganza (IPB), where he teaches the subjects of animal breeding, biotechnology applied to animal production, animal production systems, experimental design, and data analysis. He is also an active research member of the Food Safety and Technology Group at the CIMO Mountain Research Centre, based at IPB. He developed expertise in a wide range of mathematical and statistical modeling techniques. Among these mathematical modeling techniques, he has expertise in differential equations, dynamic modeling, and optimization. He is very knowledgeable in computer programming, specifically the use of R software and SQL processing, which he teaches at the undergraduate level and in workshops. Some of his current research interests are the applications of Monte Carlo simulation, Bayesian statistics, meta-analysis, dynamic modeling, and acceptance sampling theory in food safety and predictive microbiology.
Vasco Cadavez obtained his first degree in animal husbandry engineering in 1993 and his master’s degree in animal production with a specialization in feed and nutrition in 1998 at the Portuguese University of Trás-Os-Montes e Alto Douro. Following his novel research on carcass composition and quality using ultrasound, he obtained his Ph.D. degree in 2004. He is currently a Professor at the Animal Science Department of the Polytechnic Institute of Braganza (IPB), where he teaches the subjects of animal breeding, biotechnology applied to animal production, animal production systems, experimental design, and data analysis. He is also an active research member of the Food Safety and Technology Group at the CIMO Mountain Research Centre, based at IPB. He developed expertise in a wide range of mathematical and statistical modeling techniques. Among these mathematical modeling techniques, he has expertise in differential equations, dynamic modeling, and optimization. He is very knowledgeable in computer programming, specifically the use of R software and SQL processing, which he teaches at the undergraduate level and in workshops. Some of his current research interests are the applications of Monte Carlo simulation, Bayesian statistics, meta-analysis, dynamic modeling, and acceptance sampling theory in food safety and predictive microbiology.