Tel +256772454680
Email: wesonga@wesonga.com

Dr. Ronald WESONGA is a Statistician with specialization in Statistical Computing and based at the School of Statistics and Planning, Makerere University. He is a visiting Professor at the Department of Mathematics and Statistics of College of Science, Sultan Qaboos University and also at the Institute of Social Research, Makerere University, where he lectures Statistical Methods to the research PhD Students. He has accumulated over fifteen years of experience in teaching statistical methods with computational statistics to a wide range of students at all levels of learning ranging from undergraduate to postgraduate courses and to more specific professional consultancies with applications. He has extensive experience in developing statistical models, computational algorithms and analysis, data mining techniques, information system development and management, survey design and management. He is a team leader, diligent, result-oriented with a high level of integrity, accountability and timeliness coupled with professionalism.

Dr. Wesonga obtained his PhD in Statistics (2010) from Makerere University in Uganda under the supervision of Prof. Xavier Mugisha, Prof. Venancius Baryamureeba and Dr. Peter J. Jehopio; Master of Statistics (1999) under the supervision of Prof. Kathuria and Dr. Peter J. Jehopio and a Bachelor of Science in Statistics (1995) Degree from Makerere University.

RESEARCH INTERESTS

Model development and application of statistical and computationally intensive techniques to generate information and knowledge is matched with the ever-increasing problem of small and big data phenomena in both temporal and spatial fields.  Apprehension of such a challenging problem is not a function of statistics or computing in isolation, but a collaborative dynamism, corroborated by both.  We have attempted through a number of publications and works, shown that the world is better through information and knowledge creation by robust theory and applications. This way, more knowledge gaps keep revealing, hence demanding more research