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About Sandrine Dudoit

Sandrine Dudoit is Associate Professor of Biostatistics and Statistics at the University of California, Berkeley.
Professor Dudoit's research and teaching activities concern the development and application of statistical and computational methods to address problems in biomedical and genomic research.
Specific areas of interest include:
* the design and analysis of high-throughput gene expression experiments (e.g., cDNA microarrays, alternative splicing microarrays, ChIP-Chip, metagenomics microarrays);
* nucleotide and protein sequence analysis (e.g., identification of regulatory motifs in DNA sequences);
* the genetic mapping of complex traits (e.g., IBD-based linkage analysis, linkage disequilibrium analysis, SNP-based association studies, microarray-based genetic mapping studies of gene expression);
* the analysis of biological annotation metadata (e.g., Gene Ontology (GO) annotation).
Her methodological research interests include:
* loss-based estimation with cross-validation: parametric and non-parametric density estimation and regression, variable selection;
* multiple hypothesis testing: resampling-based multiple testing procedures for controlling generalized Type I error rates, defined as tail probabilities and expected values for arbitrary functions of the numbers of Type I errors and rejected hypotheses (e.g., false discovery rate).
Professor Dudoit is also involved in the development of statistical software for biomedical and genomic data analysis and is a core member of the Bioconductor Project (www.bioconductor.org).
Professor Dudoit obtained a Bachelor's (1992) and Master's (1994) degree in Mathematics from
Carleton University, Ottawa, Canada.
She first came to UC Berkeley as a graduate student and earned a PhD degree in 1999 from the Department of Statistics.
Her doctoral research, under the supervision of Professor Terence P. Speed, concerned the linkage analysis of complex human traits.
From 1999 to 2000, she was a postdoctoral fellow at the Mathematical Sciences Research Institute, Berkeley.
Before joining the Faculty at UC Berkeley in July 2001, she underwent a year of
postdoctoral training in genomics in the laboratory of Professor Patrick O. Brown, Department of Biochemistry, Stanford University.
Her work in the Brown Lab involved the development of statistical and computational methods for the design and analysis of gene expression experiments using DNA microarrays.

Positions

Present Associate Professor of Biostatistics and Statistics, University of California, Berkeley
to

Curriculum Vitae



Research Interests

Multiple hypothesis testing, Loss-based estimation with cross-validation, Statistical computing, and Biomedical and genomic data analysis



Contact Information

Division of Biostatistics
University of California, Berkeley
101 Haviland Hall, #7358
Berkeley, CA 94720-7358
Tel. (510) 643-1108
Fax. (510) 643-5163

Email:


Multiple Hypothesis Testing (13)

Loss-Based Estimation with Cross-Validation (16)