Leveraging genetic diversity and computational techniques to investigate the architecture of complex traits
Genetically diverse animal models are critical to understanding complex traits. While the use of classical inbred strains has enabled significant genetic research, these strains do not adequately represent the genetic diversity amongst humans. Multiparent populations like the collaborative cross mice and outbred populations like the diversity outbred mice allow us to model human diversity and better understand the genetic architecture of complex traits. Genetic variation itself, however, can also be considered a complex trait that arises from mutation, recombination, and chromosome assortment. Using diverse mouse strains and computational tools, I am investigating how candidate genes can alter mutation rates and resulting population genetic variability.
Education
Tufts University
PhD, Genetics
Adv: Dr. Beth Dumont
2020-Present
George Mason University
MS, Evolutionary Biology
Adv: Dr. Rebecca Forkner
Harvard T.H. Chan School of Public Health
Post-baccalaureate program in Biostatistics
George Mason University
B.S., Biology: Environmental and Conservation Biology
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