Dorcas Azare is a Postgraduate Student focusing on data-driven approaches to identifying anomalies in African disease data under the supervision of Dr. Bubacarr Bah. Her research applies advanced data science techniques to analyze disease patterns and detect unusual outbreaks or trends in health data across Africa.
As a researcher working at the intersection of data science and public health, Azare develops computational methods and statistical approaches to process and analyze complex epidemiological data, identifying patterns that may indicate emerging health concerns or outbreaks.
Her work contributes to strengthening disease surveillance systems in Africa through innovative data analysis, supporting public health decision-making with timely and accurate information derived from sophisticated computational approaches to disease data analysis.