School of Humanities and Sciences

Showing 31-40 of 41 Results

  • Paul Switzer

    Paul Switzer

    Professor of Statistics and of Environmental Earth System Science, Emeritus

    BioDr. Switzer's research interests are in the development of statistical tools for the environmental sciences. Recent research has focused on the interpretation of environmental monitoring data, design of monitoring networks, detection of time trends in environmental and climatic paramenters, modeling of human exposure to pollutants, statistical evaluation of numerical climate models and error estimation for spatial mapping.

  • Laura Symul

    Laura Symul

    Research Scientist

    BioLaura Symul has obtained her PhD in computational biology from the École Polytechnique Fédérale de Lausanne (EPFL), in Switzerland, where she has worked on the molecular regulation of the circadian clock. In particular she explored the regulation of rhythmic gene expression and protein translation combining analyses of -omics data with mathematical models describing the regulatory dynamics to infer quantities otherwise not measurable.
    Laura Symul has also specialized in the visualization of data and, during her industry experience, has helped companies to take data-driven decisions.
    As a postdoctoral fellow, her research focuses on women's health and menstrual health in particular. This includes research on fertility, on cycle-related symptoms and on drivers of changes in vaginal microbiome communities. She uses a combination of self-tracked data from mobile phone apps and devices and clinical multi-omics data.

  • Hua Tang

    Hua Tang

    Professor of Genetics and, by courtesy, of Statistics

    Current Research and Scholarly InterestsDevelop statistical and computational methods for population genomics analyses; modeling human evolutionary history; genetic association studies in admixed populations.

  • Lu Tian

    Lu Tian

    Professor of Biomedical Data Science and, by courtesy, of Statistics

    Current Research and Scholarly InterestsMy research interest includes
    (1) Survival Analysis and Semiparametric Modeling;
    (2) Resampling Method ;
    (3) Meta Analysis ;
    (4) High Dimensional Data Analysis;
    (5) Precision Medicine for Disease Diagnosis, Prognosis and Treatment.

  • Robert Tibshirani

    Robert Tibshirani

    Professor of Biomedical Data Science and of Statistics

    Current Research and Scholarly InterestsMy research is in applied statistics and biostatistics. I specialize in computer-intensive methods for regression and classification, bootstrap, cross-validation and statistical inference, and signal and image analysis for medical diagnosis.

  • Guenther Walther

    Guenther Walther

    Professor of Statistics

    BioGuenther Walther studied mathematics, economics, and computer science at the University of Karlsruhe in Germany and received his Ph.D. in Statistics from UC Berkeley in 1994.

    His research has focused on statistical methodology for detection problems, shape-restricted inference, and mixture analysis, and on statistical problems in astrophysics and in flow cytometry.

    He received a Terman fellowship, a NSF CAREER award, and the Distinguished Teaching Award of the Dean of Humanities and Sciences at Stanford. He has served on the editorial boards of the Journal of Computational and Graphical Statistics, the Journal of the Royal Statistical Society, the Annals of Statistics, the Annals of Applied Statistics, and Statistical Science. He was program co-chair of the 2006 Annual Meeting of the Institute of Mathematical Statistics and served on the executive committee of IMS from 1998 to 2012.

  • Wing Hung Wong

    Wing Hung Wong

    Stephen R. Pierce Family Goldman Sachs Professor of Science and Human Health and Professor of Biomedical Data Science

    Current Research and Scholarly InterestsCurrent interest centers on the application of statistics to biology and medicine. We are particularly interested in questions concerning gene regulation, genome interpretation and their applications to precision medicine.