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Current Fellows in the Biostatistics Branch

  • 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.

  • Courtney Dill, Ph.D., M.S.C.R., M.S.

    Dr. Dill, postdoctoral fellow in BB, is interested overall in how patient risk stratification can be used to inform screening guidelines and clinical trial design. She is using the PLCO dataset to determine whether race/ethnicity or ancestry is a better predictor of cancer risk for a number of aggressive cancers, under the mentorship of Hormuzd A. Katki, 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.

  • Sheng Fu, Ph.D.

    Dr. Fu, postdoctoral fellow in BB, works with Kai Yu, Ph.D., on developing new procedures for statistical inference and building prediction models with high-dimensional genetic and genomic data, and with Haoyu Zhang, Ph.D., on developing methods for testing genetic associations while accounting for cancer subtype heterogeneity.

  • 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., tenure-track investigator.

  • Ryan Lafferty, B.S.

    Mr. Lafferty, predoctoral fellow in BB, is working on statistical programming and methods development under the mentorship of Hyokyoung (Grace) Hong, Ph.D., senior investigator. His Ph.D. research, supervised by Dr. Anindya Roy, is focused on Bayesian model selection for high-dimensional data.

  • Maria E. Kamenetsky, Ph.D.

    Dr. Kamenetsky, postdoctoral fellow in BB, is developing methodology to explore spatial aspects of environmental mixtures, under the mentorship of Paul Albert, Ph.D., and Alexander Keil, 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., senior investigator.

  • Shilan Li, M.S.

    Ms. Li, predoctoral fellow in BB, is working on the Ph.D. dissertation under the NIH Graduate Partnership Program with Jianxin Shi, Ph.D., and her GU mentor, Hongbin Fang, Ph.D. Her research focuses on developing methods for modelling microbiome dynamics information (MDI) of multiple taxa with the constraint of compositional data analysis framework.

  • 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 Stadtman investigator 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.

  • Mark Louie Ramos, Ph.D.

    Dr. Ramos, postdoctoral fellow in BB, applies multiple testing methods to studies in metabolomics and lipidomics and liver cancer and applies his experience in sampling theory to statistical methods for designing and analyzing novel epidemiologic designs when invasive biospecimens can only be collected on subsamples of a cohort. He works under the mentorship of Dr. Barry Graubard and Dr. Hormuzd Katki.

  • Siddharth Roy, M.S.

    Mr. Roy, predoctoral fellow in BB, is working on his Ph.D. dissertation under the NIH Graduate Partnership Program with his BB mentors Danping Liu, Ph.D., and Paul Albert, Ph.D., and his UMBC advisor Dr. Anindya Roy. He is developing statistical models for analyzing longitudinal biomarker data for cervical precancer prediction.

  • Lingxiao Wang, Ph.D.

    Dr. Wang, research fellow in BB, works with mentors Hormuzd Katki, Ph.D., and Barry Graubard, Ph.D., to develop and validate nationally representative individualized risk models by combining data from epidemiologic studies and nationally representative surveys.

  • Neng Wang, B.S.

    Mr. Wang, predoctoral fellow in BB, is developing hidden Markov model approaches for the estimation of sleep onset time using accelerometer data and is analyzing disease risks associated with circadian rhythm features. His mentor is Paul S. Albert, Ph.D.

  • 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.