Data Science Project Portfolio
Alice MacQueen is a computational biologist with a Ph.D. from the University of Chicago and a background in quantitative population genetics. They focus on using molecular variation to solve problems that impact human well-being.
Specifically, Alice uses R to solve problems and generate insight in genomic datasets, including agricultural diversity panels and human immunological sequencing data, using linear mixed models, Bayesian multivariate adaptive shrinkage, and statistical association methods.
