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Jafet Belmont Osuna is a Lecturer in Statistics at the University of Glasgow. He received his Bachelor's degree in Biology from the National Autonomous University of Mexico (UNAM) in 2014, followed by a specialization in Applied Statistics from the Research Institute of Applied Mathematics (IIMAS, UNAM) in 2016. He completed his MSc in Environmental Statistics at the University of Glasgow in 2017 and earned his PhD in Statistics in 2021. Dr. Osuna has been employed at the University of Glasgow since 2018, where his research focuses on developing statistical models to analyze biodiversity data from citizen science projects. He applies Bayesian methods to characterize biological communities in changing environments and is particularly interested in exploring machine-learning techniques to analyze complex ecological and environmental data. His current research investigates methods to estimate species distributions while accounting for observational process data collected from citizen science biodiversity monitoring schemes in the UK. Dr. Osuna is part of a multidisciplinary team that aims to develop a generalized modeling framework to integrate species distribution models using Integrated Nested Laplace Approximation (INLA).
University of Glasgow • Glasgow, Scotland
Teaching, developing materials, and supervising various courses in statistics and data analysis.