Summary
Megan Smith is an Assistant Professor in Biological Sciences at Mississippi State University with nine years of experience at the intersection of computational biology, machine learning, and genomics. Her trajectory from a PhD in Evolution, Ecology, and Organismal Biology at The Ohio State University to postdoctoral research at Indiana University Bloomington reflects a strong foundation in evolutionary genomics paired with applied computational methods. She develops and applies machine learning approaches to genomic questions, translating complex biological data into testable hypotheses and actionable insights. Based in Starkville, she balances academic teaching and research while advancing interdisciplinary collaborations across biology and data science. Notably, her work emphasizes integrating evolutionary perspective into computational genomics, bringing depth to algorithmic analyses of biological systems.
9 years of coding experience
Doctor of Philosophy - PhD, Evolution, Ecology, and Organismal Biology, Doctor of Philosophy - PhD, Evolution, Ecology, and Organismal Biology at The Ohio State University