Julius Tumwine

Biography

(a). Academic qualifications: PhD (Biomathematics), 2008. Mbarara University of Science and Technology, Uganda. Thesis: Mathematical models for malaria: The role of immune response, temporary immunity and preventive interventions. Master of Science (MSc.) in Mathematics, 2003. Makerere University, Uganda. Thesis:  Mathematical models for quantifying causes of resistance of malaria parasites to drugs. Bachelor of Science with Education (BSc/Ed), Mathematics/Physics, 1994. Makerere University, Uganda. (b). Academic Awards: Deutscher Akademischer Austausch Dienst (DAAD) Postdoctoral Fellowship at Technical University Munich, Germany, and  Guest Scientist at Institute of Biometry and Biomathematics, Helmholtz Zentrum,Germany, 2012-2013. Akademischer Austausch Dienst (DAAD) Scholarship for PhD studies at Mbarara University of Science and Technology, Uganda, 2004-2008. African Mathematics Millennium Science Initiative (AMMSI) Grant for Researcher/Visiting Scientist Fellowship at Makerere University, Uganda, 2008. Deutscher Akademischer Austausch Dienst (DAAD) Grant for Research Study Visit to the University of Leipzig and Max Planck Institute for Mathematics in the Sciences, Germany,  2006. (c). MSc. Mathematics Supervision- Mbarara University of Science and Technology 1. Kweyunga , E. H. (2011). A mathematical model for the spread and control of the banana bacterial wilt epidemic. (Completed) 2. Godwin, R.  (20011). Mathematical models for the transmission and control of bovine brucellosis in cattle populations. (Completed) 3.  Turyatemba, C. (20011). A mathematical model for mycobacterium tuberculosis transmission dynamics with a population of infective immigrants. (Completed) 4. Byamukama, M. (2014). A mathematical model for the transmission dynamics and control of African swine fever in Uganda. (On going) 5. Kizito, M. (2014). Modelling the role of vaccination and treatment in the control of the transmission dynamics of pneumonia. (On going)

Research Interest

Use of mathematical tools to model the dynamics of ecological systems and diseases. Deterministic and stochastic approaches to model the transmission process of an infectious disease in a human or animal and plant populations.