Prof. Ronald Wesonga

Prof. Ronald Wesonga holds Ph.D. in Statistics and is a professional statistician with vast knowledge, skills and experience gained over the years through collaboration networks with other experts all over the world. He is keen on developing a hybrid between statistical theory & computational theory with applications. His current focus is on estimable biases in generalized linear models and misclassification problems with two Ph.D. students currently involved under his supervision. He heads the data science analytics lab (DSAL) in the Department of Statistics, a central research group used to collaborate on various datacentric statistical problems for informed decision-making to support international sustainable development goals (SDGs).He has also got experience in the development and management of online database systems and management of information systems including the European Union Satellite Information and communication technologies related to Weather and Climate data. His interests lay in developing methods that link statistics, computing and sustainable development by providing real solutions through data modeling. His PhD research is focused on aspects of modeling using stochastic optimization techniques and since then many innovations have been implemented at Entebbe International Airport, his case study.