Sandrine Dudoit

Sandrine Dudoit, PhD
Associate Dean for the Faculty and Research, College of Computing, Data Science, and Society
Professor, 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

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, Computational Biology) 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), Lauren Krupa (Biostatistics), or Kate Chase (Computational Biology).



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]

Headshots: [Pic1] [Pic2]
Casual shots: [Pic1] [Pic2] [Pic3]