James Davis

James Davis

James Davis, PhD

Computational Biologist
Argonne National Laboratory

“Machine Learning Based Prediction of AMR Phenotypes and Genotypes.”
Addressing the Gaps: Emerging Technologies | May 17, 9:30 - 10:30 am




James J. Davis is a Computational Biologist and staff scientist at Argonne National Laboratory, with joint appointments at the University of Chicago Consortium for Advanced Science and Engineering, and the Northwestern-Argonne Institute for Advanced Science and Engineering. He has a PhD in Microbiology and has expertise in bacterial genomics, phylogeny, comparative genomics, genome annotation, and algorithm design. Dr. Davis is key personnel member for the NIAID-funded Bacterial-Viral Bioinformatics Resource Center (BV-BRC), which includes the PATRIC, RAST, ViPR and IRD resources.  Dr. Davis has a publication record designing machine learning studies for predicting microbial phenotypes, including antimicrobial resistance.  To date, his work has received over 10,000 citations.  Starting in 2020, Dr. Davis has also been involved in studying the evolution and spread of the SARS-CoV-2 virus and has co-authored ten peer-reviewed articles on this topic since the beginning of the outbreak.  Prior to joining ANL, Dr. Davis earned his PhD under the direction of Gary Olsen at the University of Illinois and later did his post-doctoral work with Carl Woese at the University of Illinois Institute for Genomic Biology.