Cullen Roth is a quantitative geneticist and data scientist with a decade of experience applying mathematical and computational approaches to biological problems. Currently a postdoctoral research associate at Los Alamos National Laboratory, he builds computational biology and bioinformatics methods at the intersection of quantitative genetics and genomics. His PhD work at Duke developed Cryptococcus as a model for studying quantitative traits linked to virulence, reflecting a knack for turning nontraditional organisms into tractable systems. With a BS in Mathematics and a background that includes research at the Broad Institute and The Mind Research Network, he blends rigorous theory with hands-on bioinformatics. Cullen is driven to launch a novel research program that advances predictive genetics through scalable algorithms and data-driven experimentation.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Genetics, Doctor of Philosophy - PhD, Genetics at Duke University
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at The University of New Mexico
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