Sandrine Dudoit PhD

Associate Dean for the Faculty and Research
Division of Computing, Data Science, and Society

  • Professor Department of Statistics
  • Professor Division of Biostatistics
  • Member Center for Computational Biology
  • Faculty Affiliate Berkeley Institute for Data Science
  • Available for Advising

Sandrine Dudoit is a Professor of Biostatistics and Statistics. Her work is motivated by statistical inference questions arising in biological and medical research. Recent projects include the development of statistical methods and software for discovering novel cell types and for the study of stem cell differentiation using single-cell transcriptome sequencing (RNA-Seq).

View Sandrine Dudoit’s full bio.

  • PhD – Statistics, UC Berkeley, 1999
  • MS – Mathematics, Carleton University, Ottawa, 1994
  • BS – Mathematics, Carleton University, Ottawa, 1992

  • Data science

  • Statistical machine learning

  • Exploratory data analysis

  • High-dimensional inference

  • Loss-based inference with cross-validation, e.g., classification, regression and model selection

  • Cluster analysis/Unsupervised learning

  • Statistical computing

  • Design and analysis of high-throughput gene expression experiments

PubMed

Google Scholar

  • PH C240C-D/STAT C245C-D: Computational Statistics with Applications in Biology and Medicine I and II