Sarah Groves is a computational biologist and postdoctoral researcher with nine years of interdisciplinary experience applying physics- and math-driven modeling to biomedical problems, currently building models of mitosis signaling dysregulation in cancer at UVA. She earned a PhD from Vanderbilt for work in single-cell transcriptomics—trajectory inference and subtype identification—and quantified phenotypic plasticity in Small Cell Lung Cancer using tools developed in Dr. Vito Quaranta’s lab. Comfortable at the bench as well as at the terminal, she pairs wet-lab skills (cell culture, single-cell sequencing, microscopy) with bioinformatics and machine learning pipelines developed during academic and industry stints. A committed educator and mentor, she taught a graduate Cancer Systems Biology course for four semesters and engages in STEM outreach and women-in-science initiatives. Notably, her background in statistical experiment design and emulation from earlier physics research (including a CERN REU) gives her modeling work a strong foundation in principled uncertainty quantification.
9 years of coding experience
4 years of employment as a software developer
Physics, Physics at William and Mary
Doctor of Philosophy (PhD), Biomedical Sciences, General, Doctor of Philosophy (PhD), Biomedical Sciences, General at Vanderbilt University School of Medicine
Contributions:67 commits, 76 pushes in 1 year 2 months
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Sarah Groves - Postdoctoral Researcher at University of Virginia