Bin Zhu, Ph.D.
9609 Medical Center Drive
Rockville, MD 20850
Developing and applying novel statistical methods to increase understanding of biological mechanisms underlying complex diseases, and studing the patterns and determinants of disease in human populations. Dr. Zhu's current research focuses on:
- Functional data analysis for time series and longitudinal data, and its applications to oncology, proteomics and epidemiology
- Statistical genetics in admixture mapping, copy number variation, recombination hotspot identification, genome-wide association study and next-generation sequencing data
- Nonparametric Bayes and Bayesian variable selection for large-scale and high-dimensional complex data
Dr. Zhu received a Ph.D. in biostatistics from the University of Michigan in 2010 and then spent two years as a post-doctoral associate at the Department of Statistical Science and the Center for Human Genetics at Duke University. He joined the Biostatistics Branch of DCEG in 2012 as a tenure-track principal investigator.
Zhu B, Song N, Shen R, Arora A, Machiela MJ, Song L, Landi MT, Ghosh D, Chatterjee N, Baladandayuthapani V, Zhao H. Integrating Clinical and Multiple Omics Data for Prognostic Assessment across Human Cancers. Sci Rep. 2017;7(1):16954.
Choo-Wosoba H, Albert PS, Zhu B. A hidden Markov modeling approach for identifying tumor subclones in next-generation sequencing studies. Biostatistics. 2022;23(1):69-82.
Zhu B, Xiao Y, Yeager M, Clifford G, Wentzensen N, Cullen M, Boland JF, Bass S, Steinberg MK, Raine-Bennett T, Lee D, Burk RD, Pinheiro M, Song L, Dean M, Nelson CW, Burdett L, Yu K, Roberson D, Lorey T, Franceschi S, Castle PE, Walker J, Zuna R, Schiffman M, Mirabello L. Mutations in the HPV16 genome induced by APOBEC3 are associated with viral clearance. Nat Commun. 2020;11(1):886.
Zhu B, Poeta ML, Costantini M, Zhang T, Shi J, Sentinelli S, Zhao W, Pompeo V, Cardelli M, Alexandrov BS, Otlu B, Hua X, Jones K, Brodie S, Dabrowska ME, Toro JR, Yeager M, Wang M, Hicks B, Alexandrov LB, Brown KM, Wedge DC, Chanock S, Fazio VM, Gallucci M, Landi MT. The genomic and epigenomic evolutionary history of papillary renal cell carcinomas. Nat Commun. 2020;11(1):3096.
Lee D, Wang D, Yang XR, Shi J, Landi MT, Zhu B. SUITOR: Selecting the number of mutational signatures through cross-validation. PLoS Comput Biol. 2022;18(4):e1009309.
Related Scientific Focus Areas
Genetics and Genomics
This page was last updated on May 4th, 2022