Sandrine Dudoit

Sandrine Dudoit, PhD
Professor and Chair, Department of Statistics
Professor, Division of Epidemiology and Biostatistics, School of Public Health
University of California, Berkeley

367 Evans Hall, #3860
Berkeley, CA 94720-3860
Fax: (510) 642-7892

Postdoctoral position. Elizabeth Purdom and I are recruiting a postdoc to work on the development of statistical methods and software for the analysis of high-throughput genomic data, with an emphasis on single-cell platforms. This work is motivated by a collaboration with neurobiologist John Ngai, on exciting questions such as the discovery and characterization of novel cell types and the study of stem cell differentiation in the brain.
If interested, please follow the application process detailed in this document.

Advising and enrollment. Please consult the webpage.

Prospective graduate students. Please take the time to read carefully the information on the program websites (Statistics, Biostatistics) before contacting me. You will find answers to most of your questions regarding application procedures, admission criteria, degree requirements, and financial support on these websites. If you still have questions regarding administrative matters, please contact La Shana Porlaris (Statistics) or Sumaiya Elahi (Biostatistics).


Recent Publications

Recent Presentations

Research and Teaching Activities

My research and teaching activities concern the development and application of statistical methods and software for the analysis of biomedical and genomic data.

Statistical methodology. My methodological research interests regard high-dimensional inference and include exploratory data analysis (EDA), visualization, loss-based estimation with cross-validation (e.g., density estimation, regression, model selection), and multiple hypothesis testing.

Applications to biomedical and genomic research. Much of my methodological work is motivated by statistical inference questions arising in biological research and, in particular, the design and analysis of high-throughput microarray and sequencing gene expression experiments, e.g., single-cell transcriptome sequencing (RNA-Seq) for discovering novel cell types and for the study of stem cell differentiation. My contributions include: exploratory data analysis, normalization and expression quantitation, differential expression analysis, class discovery, prediction, cell lineage inference, integration of biological annotation metadata (e.g., Gene Ontology (GO) annotation).

Statistical computing. I am also interested in statistical computing and, in particular, reproducible research. I am a founding core developer of the Bioconductor Project (, an open-source and open-development software project for the analysis of biomedical and genomic data.

Curriculum Vitae and Biography

Curriculum Vitae [PDF]

Biography [PDF]

Headshot [JPG]