Prof. Mark Kimathi is currently a Senior Lecturer of Applied Mathematics at Machakos University. He acquired a Ph.D in mathematical modelling with differential equations and scientific computing from University of Kaiserslautern, Germany in 2012. He has ten years of experience in mathematical modelling and scientific computing of dynamics of infectious diseases, fluid flows, and vehicular traffic flow among others, https://scholar.google.com/citations?user=R5Gfb1oAAAAJ&hl=en&oi=ao
He is the thematic leader for the programme M.Sc. in Mathematical Modeling and Computation at Machakos University. His view of mathematics is two fold: firstly, as a means of describing/representing a real-world problem through modelling and secondly, as a way of obtaining effective solution(s) through accurate numerical approximation.
In May, 2019 he was a visiting Lecturer at the Nelson Mandela African Institution of Science and Technology (NM-AIST), Tanzania to impact knowledge of mathematical modelling with differential equations and numerical computations to postgraduate students in the School of Computational and Communication Sciences and Engineering (COCSE).
In June, 2020 he was appointed to the National COVID-19 Modelling Technical Committee by the Director General of the Ministry of Health in Kenya, to provide modelling insights and consensus advisories to the National Task Force and Ministry of Health on COVID-19 transmission, spread and control.
He is currently a KEMRI-Welcome Trust research fellow working on a Kenya-specific optimal strategy of allocating the limited COVID-19 vaccine doses such that the overall disease burden and the cost of implementing such a strategy is minimized.
