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Discovering the causes of cancer and the means of prevention
 

Current Fellows in the Biostatistics Branch

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

  • Jordan Aron, B.A.

    Mr. Aron, postbaccalaureate fellow in BB, works under the mentorship of Paul Albert, Ph.D., Li Cheung, Ph.D., and Hormuzd Katki, Ph.D., on applying hidden Markov models to study the natural history of HPV.

  • Aryana Arsham, Ph.D.

    Dr. Arsham, postdoctoral fellow in BB and REB, focuses on predicting dose rates using machine learning methods for the assessment of cancer risk as well as Age-Period-Cohort modelling for addressing disparities in cancer incidence amongst different groups. Her mentors are Mark Little, D.Phil., and Philip Rosenberg, Ph.D.

  • Lesley Chapman, Ph.D.

    Dr. Chapman, postdoctoral fellow in CGB, develops machine learning and statistical strategies to identify novel pathogenic variants in pediatric cancer. Her mentors are Douglas Stewart, M.D., and Hormuzd A. Katki, Ph.D. (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, developed statistical methods for causal inference in longitudinal datasets and methods for high-dimensional mediation analysis. She continues working in these areas and on inference for HPV vaccine trials under the mentorship of Mitchell H. Gail, M.D., Ph.D., and Joshua Sampson, 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.

  • Gregory Haber, Ph.D.

    Dr. Haber, postdoctoral fellow in BB, is working with Barry Graubard, Ph.D., Paul Albert, Ph.D., and Danping Liu, Ph.D., on the analysis of record-linked data with measurement error due to incorrect linkage as well as the transportability of prediction models across finite populations in epidemiological studies.

  • 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.

  • Soutrik Mandal, Ph.D.

    Dr. Mandal, postdoctoral fellow in BB, is working with mentors Ruth Pfeiffer, Ph.D., and Jianxin Shi, Ph.D., to develop semiparametric methods for inferential problems in case-control studies with incident and prevalent cases.

  • Tanvi Mehta, B.A.

    Ms. Mehta, postbaccalaureate fellow in BB, works under the mentorship of Paul Albert, Ph.D., and Sung Duk Kim, Ph.D., on developing group testing methodology to understand antibody associations as well as utilizing imputation to establish metabolic profiles.

  • Siddharth Roy, M.S.

    Mr. Roy, predoctoral fellow in BB, is working on the Ph.D. dissertation about developing statistical models for analyzing longitudinal biomarker data for cervical precancer prediction. His research is being done under the 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.

  • 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.

  • Emily Wu, B.S.

    Ms. Wu, postbaccalaureate fellow in BB, works under the mentorship of Danping Liu, Ph.D., and Li Cheung, Ph.D., on developing methods for using registry linkage data to study the relationship between low dose radiation exposure and cancer outcomes.

  • 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.