The researcher focuses on developing mathematical models to understand gene regulatory networks across various organisms, examining transcriptional, post-transcriptional, and epigenetic pathways. By integrating computational methods like Boolean logic, differential equations, and machine learning with experimental data from diverse organisms (mammals, insects, yeast), the researcher identifies how gene regulation operates at different scales. Their work emphasizes the role of environmental factors in shaping gene expression patterns both at individual and cellular levels, highlighting the interdisciplinary approach that combines experiments, literature reviews, and computational modeling to uncover biological insights.
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