Dr Deborah Oluwatobi Daniel
About me
Dr. Deborah Oluwatobi Daniel is an Applied Mathematician and Computational Modeller specializing in the intersection of infectious disease epidemiology and climate variability. Her research focuses on using mathematical and statistical frameworks to understand the transmission dynamics of vector-borne diseases, specifically Malaria and Lassa Fever, in high-burden regions of Nigeria. She leverages computational tools (R/Python) to translate data into actionable public health insights.
Dr. Deborah Oluwatobi Daniel is a researcher in Applied Mathematics focused on the modelling and analysis of infectious diseases. She holds a Ph.D. in Applied Modelling (2023) and recently completed a postdoctoral fellowship centered on the eco-epidemiology of Malaria and Lassa Fever. Her work integrates mathematical theory with real-world biological data to assess the impact of environmental factors and intervention strategies on disease spread.
During her fellowship at the International Centre for Applied Mathematical Modelling and Data Analytics (ICAMMDA), she led research investigating the attribution of climate change to malaria transmission in Northern Nigeria. She is passionate about bridging the gap between theoretical modelling and public health policy, utilizing time-series analysis and computational data science to generate actionable insights for intervention planning.
Technically proficient in R and Python, Dr. Daniel has developed interactive tools, including R Shiny applications, to visualize epidemiological trends and support decision-making. She actively contributes to the academic community as a peer reviewer for international journals and as a facilitator of technical workshops for junior researchers.