The researcher's research is centered in computational biology and genetics, with a focus on developing machine learning methods for gene expression prediction and integrating epigenetic information to understand developmental processes. Their work aims to advance our understanding of health and disease through innovative approaches that combine big data analysis with mathematical models. The integration of these themes highlights their contributions to advancing biological predictions and contributing to health-related research, emphasizing the interdisciplinary nature of their work.
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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.