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Discovering the causes of cancer and the means of prevention
 

Current Fellows in the Biostatistics Branch

  • Monica D’Arcy, Ph.D.

    Dr. D'Arcy, postdoctoral fellow in BB, is working with Ruth Pfeiffer, Ph.D., to use large databases, including the Transplant-Cancer Match Study and the SEER-Medicare linked database, to study risk factors for several cancers.

  • Shrutikona Das, B.A.

    Ms. Das, postbaccalaureate fellow in BB, is working on absolute and relative risk estimation for screened cancers when the intervals between visits are informed by test results, under the mentorship of Dr. Li Cheung.

  • 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, is working with Kai Yu, Ph.D., on developing new procedures for statistical inference and building prediction models with high-dimensional genetic and genomic data.

  • Justin Yongli Han, Ph.D.

    Dr. Han, research fellow in BB, works with Danping Liu, Ph.D., on diagnostic testing, biomarker evaluation and combination, risk prediction, joint analysis of complex longitudinal and survival data, and missing data methodologies in cancer studies and health behavior research.

  • Debamita Kundu, Ph.D.

    Dr. Kundu, postdoctoral fellow in BB, is working under the mentorship of Paul S. Albert, Ph.D., on analyzing health effects associated with simultaneous exposure to multiple pollutants in the environment.

  • 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.

  • 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.

  • 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.

  • Thomas Rehling, M.S.

    Mr. Thomas Rehling, postbaccalaureate fellow in BB, conducts gene and pathway analysis using summary data generated from genome-wide association studies and explores various machine learning models for classification and prediction using high-dimensional biomarker data. His mentors are Kai Yu, Ph.D., and Hyokyoung (Grace) Hong, Ph.D.

  • 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 Yei-Eun Shin, Ph.D.

  • Corey Young, M.S.

    Mr. Young, predoctoral fellow in BB, works under the direction of Hormuzd Katki, Ph.D., to develop new lung cancer risk models and studies their use to reduce health disparities in lung cancer screening.

  • 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.