Rate My Professor Abra Brisbin

Brisbin's research focuses on statistical genetics and the Scholarship of Teaching and Learning. She develops statistical and computational methods to analyze genetic data, understand the genetic causes of disease and complex traits, and improve student learning through statistical approaches. Her publications include 'Bayesian genomic models for the incorporation of pathway topology knowledge into association studies' (Statistical Applications in Genetics and Molecular Biology, 2013, with B.L. Fridley), 'PCAdmix: Principal Components-based assignment of ancestry along each chromosome in individuals with admixed ancestry' (Human Biology, 2012), 'Localization of association signal from risk and protective variants in sequencing studies' (Frontiers in Statistical Genetics and Methodology, 2012), 'Meta-analysis of 8q24 for seven cancers reveals a locus between NOV and ENPP2' (BMC Medical Genetics, 2011), 'Fast, exact linkage analysis for categorical traits on arbitrary pedigree designs' (Genetic Epidemiology, 2011), and 'Bayesian linkage analysis of categorical traits for arbitrary pedigree designs' (PLoS One, 2010). She co-authored 'Women's Representation in Mathematics Subfields: Evidence from the arXiv' (2015, with Ursula Whitcher) and co-edited the book Research Connections: Career and Research Journeys from the SMP Community. Brisbin teaches courses in programming and data mining and is involved in the university's data science program. She maintains an active presence in professional service, including nominations for university fellowships and excellence awards for colleagues.