I obtained my PhD at Université Grenoble Alpes, France with specialty in infectious diseases modeling using statistical and mathematical approach and I graduated with distinction in my master’s degree. I am currently a postdoctoral researcher at Northern Arizona University, supporting thew effort to build a cyberinfrastructure for public health using spatial modeling approach. I am a member of Institute of Applied Mathematics, United Kingdom, member of the Institute of Electrical and Electronics Engineers (IEEE) Region 8 (Computer science section), member of International Society of Engineer (IAENG), member of Society of International Computer Science and Engineering Society (ICSES), member of Society of Industrial and Applied Mathematics (SIAM), member of European Mathematical Society (EMS), member of Australian Mathematical Society, member of Society Informatics de France (SIF), member of Internet Society, member of Ecological Forecasting Initiative (EFI), member of Société Mathématique de France (SMF) and Society for Multidisciplinary and Advanced Research Techniques for Africa (SMART). An Alumnus of Heidelberg Laureate Forum (HLF), Germany, Fellow-African Scientific Institute (FASI), USA and RTF-DCS Fellow, India. A dynamic and proactive young scholar whose research interest are biostatistics, machine learning, data analysis, statistical analysis, infectious disease modelling, fractional derivative, genetic data modelling, biomathematics, mathematical modelling, epidemiology modelling, numerical analysis, and ordinary differential equation.
He/him/his
United States
Germany
Nigeria
Ghana
Kenya
Uganda
Kuwait
United Kingdom
Rwanda
France
South Africa
Israel
Oshinubi K, Chen Y, Doerry E, Gel ES, Hepp C, Lant T, Mehrotra S, Sabo S, Mihaljevic J. (2026). A systematic review of spatial epidemiological modeling approaches applied during the COVID-19 pandemic. BMC public health
Oshinubi K, Hepp CM, Chen Y, Doerry E, Busser N, Townsend J, Will J Jr., Ruberto I, Kretschmer M, Mihaljevic J. (2026). Accounting for spatial variation in weather factors predicts spatial variations in Culex quinquefasciatus abundance in the Desert Southwest. Parasites & vectors
Oshinubi K, Hepp CM, Chen Y, Doerry E, Busser N, Townsend J, Will J, Ruberto I, Kretschmer M, Mihaljevic J. (2025). Accounting for spatial variation in climatic factors predicts spatial variations in mosquito abundance in the desert southwest. Research square
Mihaljevic JR, Chief C, Malik M, Oshinubi K, Doerry E, Gel E, Hepp C, Lant T, Mehrotra S, Sabo S. (2024). An inaugural forum on epidemiological modeling for public health stakeholders in Arizona. Frontiers in public health, (12)
Ngungu M, Addai E, Adeniji A, Adam UM, Oshinubi K. (2023). Mathematical epidemiological modeling and analysis of monkeypox dynamism with non-pharmaceutical intervention using real data from United Kingdom. Frontiers in Public Health, (11)
Oshinubi K, Magal P, Longe O, Demongeot J. (2023). Editorial: Mathematical and statistical modeling of infection and transmission dynamics of viral diseases. Frontiers in public health, (11)
Kayode Oshinubi , Firas Ibrahim , Mustapha Rachdi , Jacques Demongeot. (2022). Functional data analysis: Application to daily observation of COVID-19 prevalence in France. AIMS Mathematics, 7(4)
Waku J, Oshinubi K, Demongeot J. (2022). Maximal reproduction number estimation and identification of transmission rate from the first inflection point of new infectious cases waves: COVID-19 outbreak example. Mathematics and computers in simulation, (198)
Kayode Oshinubi, Mustapha Rachdi, Jacques Demongeot. (2021). Modeling of COVID-19 Pandemic vis-à-vis Some Socio-Economic Factors. Frontiers, (7)
Kayode Oshinubi, Augustina Amakor, Olumuyiwa James Peter, Mustapha Rachdi, Jacques Demongeot. (2021). Approach to COVID-19 time series data using deep learning and spectral analysis methods. AIMS Bioengineering, 9(1)
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