Research Interest I am a trained Mathematical Epidemiologist and had been working on mathematical modeling of infectious diseases and control for over a decade. I aim to optimize policy design to achieve the WHO target for disease elimination as a public health concern (less than one new infection per 1000 susceptible populations). My main area of interest includes, but are not limited to, teaching and research in mathematical epidemiology, modeling of communicable diseases, surveillance in public health, risk analysis, optimization, parameter estimation, sensitivity and uncertainty of model parameters, model calibration, data visualization, data analysis and data science. Sample technical skills I have used are: visualization techniques and technology such as Excel, ggplot2 libraries, Matplotlib. programming such as Python (Scipy, Numpy, Pandas), Databases and SQL, R, Rmarkdown, Jupyter, Matlab, Sage, Github, Version control with Git, Tidyverse, and so on. Some Presentations and Posters: Doctoral Exam, University of British Columbia, February 16 2020 Slides Scientific Computing meets Machines Learning and Life Sciences conference, Texas Tech University, Oct. 2019 Poster Doctoral Committee Meeting, University of British Columbia, October 2019 Slides List of publications and preprints: A novel approach to modelling the spatial spread of airborne diseases: an epidemic model with indirect transmission With Sarafa A. Iyaniwura, Michael J. Ward, and Fred Brauer. Mathematical Biosciences and Engineering (MBE), 17(4): 3294-3328, April 2020. The Study of Epidemic and Endemic Diseases using Mathematical Models Dissertation: Ph.D. in Interdisciplinary Studies, The University of British Columbia, Vancouver, February 2020. Supervised by Fred Brauer and Viviane Dias Lima. The potential impact of initiating antiretroviral therapy with integrase inhibitors on HIV transmission risk in British Columbia, Canada With Jielin Zhu, Ignacio Rozada, Jummy David, David M. Moore, Silvia A. Guillemi, Rolando Barrios, Julio S.G. Montaner, Viviane D. Lima. EClinicalMedicine, July 2019. Epidemic models with heterogeneous mixing and indirect transmission Journal of Biological Dynamics 12:1, 375-399, May 2018. A co-interaction model of HIV and syphilis infection among gay, bisexual and other men who have sex with men With Fred Brauer, Viviane Dias Lima, and Jielin Zhu. Submitted to Infectious Diseases Modelling, January 2020 (Under review). Mathematical Epidemiology of HIV/AIDS and Tuberculosis Co-infection Thesis: M.Sc. in Mathematics, The University of British Columbia, Vancouver, August 2015. Supervised by Fred Brauer. A Model for Analysis of Drug Abuse and HIV Infection Thesis: M.Sc. in Mathematical Sciences, African Institute for Mathematical Sciences/Stellenbosch University, Cape Town, South Africa, May 2013. Supervised by Faraimunashe Chirove. Suggested websites, links and workshops: PIMS website for scientific conferences and workshops. Yearly Summer Institutes, University of Washington. Canadian Centre for Disease Modelling. The Fields Institute for Research in Mathematical Sciences.

Updated: August, 2020.