معرفی
Mia Miyagi is a Postdoctoral Researcher at Brown University's Center for Computational Molecular Biology and Data Science Institute, supported by an NSF Postdoctoral Fellowship. They work under Emilia Huerta-Sánchez, focusing on critical analyses of genomic sex differences, gendered effects on human demographic history, and applications of coalescent theory to detect admixture and introgression.
Education: PhD in Organismic and Evolutionary Biology and the Study of Women, Gender, and Sexuality from Harvard University (advisor: John Wakeley), with affiliation to the GenderSci Lab.
Research Interests: Mia’s work bridges computational genomics with gender studies, examining how sex differences are interpreted in genomic data and their implications for understanding human populations. They apply statistical methods to trace historical demographic patterns and genetic admixture events.
Awards: Recipient of the NSF Postdoctoral Fellowship, reflecting recognition of their interdisciplinary research potential.
Labs & Affiliations: Current affiliation with Brown’s Center for Computational Molecular Biology. Previously part of Harvard’s GenderSci Lab. Engages in collaborative projects at the intersection of computational biology and gender analysis.
