Skip to main content
An official website of the United States government

Current Fellows in the Biostatistics Branch

Meet the fellows in the Biostatistics Branch (BB) and learn about their work.

See a list of BB Principal Investigators.

  • Neha Agarwala, Ph.D.

    Dr. Agarwala, postdoctoral fellow in BB, is working on projects related to an estimation problem for survival data with special features and the combination of high-dimensional biomarkers to assess prevalence of infection with SARS- CoV-2, under the mentorship of Ruth Pfeiffer, Ph.D.

  • Samuel (Sam) Anyaso-Samuel, Ph.D.

    Dr. Anyaso-Samuel, postdoctoral fellow in BB, develops efficient statistical and computational methods for longitudinal microbiome data, spatial heterogeneity of tumors and biological networks. His mentors are Dr. Jianxin Shi and Dr. Paul Albert.

  • Jordan Aron, B.A.

    Mr. Aron, predoctoral fellow in BB, develops hidden Markov models for characterizing the heterogeneity of the wake cycle. His mentor is Paul Albert, Ph.D.

  • Lola Étiévant, Ph.D.

    Dr. Étiévant, postdoctoral fellow in BB, began developing statistical methods for causal inference in longitudinal datasets and methods for high-dimensional mediation analysis prior to coming to DCEG. She continues working in these areas and on inference for HPV vaccine trials under the mentorship of Mitchell H. Gail, M.D., Ph.D.

  • Liana Hill

    Ms. Hill is pursuing her B.S. in statistics from the University of Maryland, Baltimore County. She will conduct research in DCEG as part of a scholarship from the National Institute on Drug Abuse. Ms. Hill is working on cancer risk analyses using imperfect cancer registry linkage data under the mentorship of Danping Liu, Ph.D., investigator.

  • Min Hua, Ph.D.

    Dr. Hua, postdoctoral fellow in BB, is working on developing novel statistical methods for mutational signatures extractions and their contributions to somatic mutations in cancer genomes, under the mentorship of Bin Zhu, Ph.D.

  • Sang Kyu Lee, M.S.

    Sang Kyu Lee, predoctoral fellow in BB, is working on quantile regression and survival analysis for high-dimensional data, especially about false discovery rate (FDR) control on variable selection and disparity analysis with cancer-related biomarkers, under the mentorship of Hyokyoung (Grace) Hong, Ph.D.

  • Fangya Mao, Ph.D.

    Dr. Mao, postdoctoral fellow in BB, develops novel statistical methods for the analysis of multistate time-to-event data and the design of cost-effective biomarker studies, with an aim of advancing understanding of cancer etiology and complex cancer processes, under the mentorship of Li Cheung, Ph.D.

  • Adalberto Miranda-Filho, Ph.D.

    Dr. Miranda-Filho, postdoctoral fellow in the Biostatistics Branch (BB), is conducting research in the field of descriptive cancer epidemiology by applying statistical and mathematical models to elucidate emerging trends in cancer incidence, mortality, and survivorship among world populations. He also serves as an affiliate in the Integrative Tumor Epidemiology Branch (ITEB). His mentors are Philip Rosenberg, Ph.D., BB, and Gretchen Gierach, Ph.D., M.P.H., ITEB.

  • Siddharth Roy, Ph.D., M.S.

    Dr. Roy, postdoctoral fellow in BB, is developing methods for identifying longitudinal biomarkers for time-to-cancer outcomes in high-dimensional settings.

  • Jacob Williams, Ph.D.

    Dr. Williams, postdoctoral fellow in BB, conducts his research to improve the accuracy of polygenic risk scores (PRSs) by creating a method to combine PRSs from rare genomic variants with those from common genomic variants. His mentor is Haoyu Zhang, Earl Stadtman investigator.

  • Fei Qin, Ph.D.

    Dr. Qin, postdoctoral fellow in BB, is working on statistical genetics and genomics, particularly, the integration analysis of single cell sequencing data and GWAS data, detection of copy number variants, and identification of spatially variable genes with single-cell sequencing data, under the mentorship of Dr. Kai Yu and Dr. Jianxin Shi.

  • Pei Zhang, M.S.

    Ms. Zhang, predoctoral fellow in BB, is developing mixed modeling approaches to examine the relationship between high-dimensional biomarker/genomics data and subsequent cancer risk, under the mentorship of Dr. Grace Hong and Dr. Paul Albert.