The researcher has focused on developing and applying advanced statistical methodologies to address complex problems in public health, genetics, environmental science, and beyond. Their work emphasizes the use of Bayesian inference, computational models, and scalable statistical approaches to tackle challenges such as public health equity, genetic risk assessment, environmental modeling, climate change analysis, and big data applications.
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This profile is generated from publicly available publication metadata and is intended for research discovery purposes. Themes, summaries, and trajectories are inferred computationally and may not capture the full scope of the lecturer's work. For authoritative information, please refer to the official KNUST profile.