Principal Investigators

Biostatistics Branch (BB)

A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z

A

  • Albert, Paul S., Ph.D.
    Complex modeling of correlated outcomes in biomedical sciences, including the analysis of longitudinal data, diagnostic testing, and data from biomarker studies

C

  • Cheung, Li C., Ph.D.
    Dr. Cheung seeks to utilize epidemiologic findings to inform risk-based and benefit-based approaches to cancer screening and prevention.

H

  • Hong, Grace, Ph.D., M.S.
    Development of cutting-edge statistical methods for analyses of complex large-scale datasets (e.g., high-dimensional censored data and longitudinal data), and their application to the fields of public health, medicine, and health policy research.

L

  • Liu, Danping, Ph.D.
    Developing new statistical methodologies for combining cross-sectional and longitudinal biomarker data for disease prediction, environmental health

P

  • Pfeiffer, Ruth M., Ph.D.
    Statistical methods for: genetic epidemiology, including power assessment of association studies, family data accounting for ascertainment , DNA pooling for joint genotype estimation, and lab data methods.

S

  • Shi, Jianxin, Ph.D.
    Developing quantitative methods and leading substantive projects to advance the knowledge about cancer genomics and potential translational applications. Focus on cancer genetic epidemiology, cancer genomics, and microbiome epidemiology.

Y

  • Yu, Kai, Ph.D.
    Statistical methods for genetic and genomic studies. Tree-based models and applications in molecular epidemiology studies. Integrative analysis using individual-level and summary-level data.

Z

  • Zhang, Haoyu, Ph.D.
    Dr. Zhang develops and applies scalable statistical methods for analyzing multi-ancestry genetic and biobank data, translating these findings to clinical settings to inform prevention and therapeutic strategies.
  • Zhang, Tongwu, Ph.D.
    Dr. Zhang leads cutting-edge cancer genomics research focused on dissecting complex genomic features and biological mechanisms underlying tumor development, using advanced computational biology, bioinformatics, biostatistics, and mathematical methodologies.
  • Zhu, Bin, Ph.D.
    Developing and applying novel statistical methods to increase understanding of biological mechanisms underlying complex diseases, and studying the pattern and determinants of disease in human populations.