6710B ROCKLEDGE DRIVE
BETHESDA MD 20817
James Morton, Ph.D., is an investigator in the Biostatistics and Bioinformatics Branch. Prior to joining NICHD, he was an associate research scientist and research fellow at the Flatiron Institute, a research division of the Simons Foundation, where he focused on developing Bayesian methodologies to enable protein structural alignment and microbiome-latent variable modeling.
Dr. Morton received his Ph.D. in computer science from the University of California at San Diego in 2018 and four bachelor’s degrees, in computer science, electrical engineering, engineering physics, and mathematics and statistics, at Miami University in 2014.
Curriculum Vitae for Dr. Morton (PDF 212 KB)
Establishing microbial composition measurement standards with reference frames
Morton JT, Marotz C, Washburne A, Silverman J, Zaramela LS, Edlund A, Zengler K, Knight R.
Nat Commun. 2019 Jun 20;10(1):2719.
Learning representations of microbe-metabolite interactions
Morton JT, Aksenov AA, Nothias LF, Foulds JR, Quinn RA, Badri MH, Swenson TL, Van Goethem MW, Northen TR, Vazquez-Baeza Y, Wang M, Bokulich NA, Watters A, Song SJ, Bonneau R, Dorrestein PC, Knight R.
Nat Methods. 2019 Dec;16(12):1306-1314.
Balance Trees Reveal Microbial Niche Differentiation
Morton JT, Sanders J, Quinn RA, McDonald D, Gonzalez A, Vázquez-Baeza Y, Navas-Molina JA, Song SJ, Metcalf JL, Hyde ER, Lladser M, Dorrestein PC, Knight R.
mSystems. 2017 Jan 17;2(1):e00162-16.
Protein Structural Alignments From Sequence
James T. Morton, Charlie E. M. Strauss, Robert Blackwell, Daniel Berenberg, Vladimir Gligorijevic, Richard Bonneau
Scalable estimation of microbial co-occurrence networks with Variational Autoencoders
James T. Morton, Justin Silverman, Gleb Tikhonov, Harri Lähdesmäki, Rich Bonneau