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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.

  • Julia Elrod, B.A.

    Ms. Elrod, postbaccalaureate fellow in BB, works under the mentorship of Philip Rosenberg, Ph.D., on statistical methodology in cancer surveillance, such as Age-Period-Cohort Modeling.

  • 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, postdoctoral 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.

  • DongHyuk Lee, Ph.D.

    Dr. Lee, postdoctoral fellow in BB, is working with Bin Zhu, Ph.D., on statistical methods for analyzing mutational signatures in cancer research.

  • 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.

  • 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 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.

  • Martin Skarzynski, Ph.D., M.P.H.

    Dr. Skarzynski, postdoctoral fellow in BB, applies his computational skills in combination with his genomics and immunology background to the study and prevention of cancer. He is working under the mentorship of Hormuzd Katki, Ph.D.

  • Lingxiao Wang, Ph.D.

    Dr. Wang, postdoctoral 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.