Summary
Andrew Redd is a data scientist and biostatistician with 14 years of experience applying rigorous statistical methods to public health and clinical problems. Trained with a PhD in Statistics from Texas A&M, he specializes in R programming and builds surveillance models for both transmissible and non-transmissible diseases. As an Assistant Professor at the University of Utah School of Medicine and an organizer of the Salt Lake City R User Group, he blends academic research, teaching, and community-driven open-source practice. He has a long research affiliation with the Department of Veterans Affairs and recently transitioned into industry analytics at Zions Bancorporation, demonstrating versatility across government, academia, and corporate environments. Colleagues know him for translating complex epidemiologic questions into reproducible R workflows and for mentoring others in applied statistics. Based in Salt Lake City, he pairs deep methodological expertise with practical implementation that informs public health decision-making.
14 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Statistics, Doctor of Philosophy (Ph.D.) Statistics at Texas A&M University
Bachelor of Science (BS) Applied Mathematics, Bachelor of Science (BS) Applied Mathematics at Weber State University
Spanish