Felipe Guimarães Teixeira holds a Ph.D. (2019) and a Master’s degree (2012) in Biomedical Engineering from the Federal University of Rio de Janeiro (UFRJ), where he also completed a postdoctoral fellowship in Physical Education (2023). He earned his undergraduate degree in Physical Education from Universidade Estácio de Sá (2008) and is currently pursuing a degree in Data Science at the same institution (2023–2025). Dr. Teixeira is a faculty member (Professor Auxiliar V) at Universidade Estácio de Sá, teaching Biomechanics, Anatomy, Human Physiology, and Combat Sports, and also serves as a content developer for online learning platforms. He coordinates the Research Group in Biomechanics and Data Science at Estácio, focusing on machine learning and multivariate analysis applied to combat sports such as MMA and judo. He is also a member of the Biomechanics Research Group at COPPE/UFRJ and a collaborator in the Psychophysiology and Combat Sports Performance Research Group. As Technical Director at CAP Consultoria Esportiva, he develops AI-based tools for training load monitoring in elite athletes. His research focuses on machine learning, multivariate signal analysis, and data science applications in sports performance.
Felipe Guimarães Teixeira holds a Ph.D. (2019) and a Master’s degree (2012) in Biomedical Engineering from the Federal University of Rio de Janeiro (UFRJ), where he also completed a postdoctoral fellowship in Physical Education (2023). He earned his undergraduate degree in Physical Education from Universidade Estácio de Sá (2008) and is currently pursuing a degree in Data Science at the same institution (2023–2025). Dr. Teixeira is a faculty member (Professor Auxiliar V) at Universidade Estácio de Sá, teaching Biomechanics, Anatomy, Human Physiology, and Combat Sports, and also serves as a content developer for online learning platforms. He coordinates the Research Group in Biomechanics and Data Science at Estácio, focusing on machine learning and multivariate analysis applied to combat sports such as MMA and judo. He is also a member of the Biomechanics Research Group at COPPE/UFRJ and a collaborator in the Psychophysiology and Combat Sports Performance Research Group. As Technical Director at CAP Consultoria Esportiva, he develops AI-based tools for training load monitoring in elite athletes. His research focuses on machine learning, multivariate signal analysis, and data science applications in sports performance.