Gesham Magombedze

Gesham Magombedze, PhD

Postdoctoral Fellow, NIMBioS

Contact Information

National Institute for Mathematical and Biological Synthesis (NIMBioS)
1534 White Ave., Blount Hall, Suite 400
University of Tennessee
Knoxville, TN 37996-1527
Phone: (865) 974-9328
Fax: (865) 974-9300


Ph.D., Applied Mathematics, National University of Science and Technology, Zimbabwe, 2009. Area of Study: Mathematical Modelling using Dynamical Systems and Numerical Methods. Thesis title: Modelling the Pathogenesis of Mycobacterium tuberculosis Infection and its Treatment

Post Doctoral Fellow, University of Cape Town. Medical School, Institute of Infectious Disease and Molecular Medicine, Computational Biology Group. 2010-2011.

Bachelor of Science Honours degree in Applied Mathematics 2004. National University of Science and Technology, Zimbabwe

Research interests

I am developing mathematical/computational models to understand the major factors involved in Mycobacterial infections (Mycobacterium tuberculosis (Mtb) and Mycobacterium avium subspecies paratuberculosis (Map)) and their host interactions in order to enhance understanding of resistance and susceptibility patterns between pathogens and persistence of infection.

Mtb/Map gene regulatory networks and a multi-scale framework.

Current research topic: Modeling the immunological host-pathogen interaction of Johne's disease to understand its pathology and treatment.

Selected publications

Magombedze G., Eda S., and Ganusov VV. 2013. Competition for antigen between Th1 and Th2 responses determines the timing of the immune response switch during Mycobacterium avium subspecies paratuberculosis infection in ruminants. PLoS Computational Biology. [Online]

Magombedze G., Ngonghala CN., and Lanzas C. 2013. Evaluation of the "Iceberg Phenomenon" in Johne's Disease through Mathematical Modelling. PLoS One, 8(10): e76636. [Online]

Magombedze G., Dowdy D., and Mulder N. 2013. Latent Tuberculosis: Models, Computational efforts and the Pathogen's regulatory mechanisms during dormancy. Frontiers in Bioengineering and Biotechnology|Systems Biology. 1:4. [Online]

Magombedze G., Reddy PB., Eda S., Ganusov VV. 2013. Cellular and population plasticity of helper CD4(+) T cell responses. Frontiers in Physiology|Systems Biology. 4:206. [Online]

Magombedze G., and Mulder N. 2012. Understanding TB latency using computational and dynamic modelling procedures. Infection, Genetics and Evolution. 13:267-283 [Online]

Magombedze G., and Mulder N. 2011. A mathematical representation of the development of Mycobacterium tuberculosis active, latent and dormant stages. Journal of Theoretical Biology. 292:44-59. [Online]

Magombedze G., Nduru P., Bhunu C. P., and Mushayabasa S. 2010. Mathematical Modelling of Immune regulation of Type I Diabetes. BioSystems. 102(2-3):88-98. [Online]

Magombedze G., Garira W., and Mwenje E. 2010. Modelling the TB/HIV-1 Co-Infection and the Effects of Its Treatment. Mathematical Population Studies. 17(1):12-64. [Online]

Magombedze G., Garira W., and Mwenje E. Modelling the immuno-pathogenesis of HIV-1 infection and the effect of Multi-drug therapy: The role of Fusion inhibitors in HAART. Journal of Mathematical Biosciences and Engineering. 5(3) 485- 504. 2008. [Online]

Bhunu C. P., Garira W., Mukandavire Z., and Magombedze G. Modelling the effects of pre-exposure and post-exposure vaccines in tuberculosis control. Journal of Theoretical Biology. 254(3):633-649. 2008. [Online]

Magombedze G., Garira W., and Mwenje E. Modelling the Human Immune Response Mechanisms to Mycobacterium tuberculosis Infection in the Lungs. Journal of Mathematical Biosciences and Engineering. 3(4):661-682, 2006. [Online]

Magombedze G., Garira W., and Mwenje E. Mathematical Modelling of Chemotherapy of Human TB Infection. Journal of Biological Systems. 14(4):509- 553. 2006. [Online]

Full list of publications

Pubmed [Online] and Google Scholar [Online].