Dr. Sandrine Dudoit

Biography

Sandrine Dudoit is a professor in the Department of Statistics at the University of California, Berkeley. Her research expertise encompasses a wide array of topics in statistics including applied statistics, data science, and statistical computing, with a particular focus on computational biology and genomics. Dudoit's methodological research interests are centered around high-dimensional inference, which includes exploratory data analysis (EDA), visualization, loss-based estimation, cross-validation, and multiple hypothesis testing. Her applications are prominently in the realm of biomedical genomic research, where she addresses statistical inference issues that arise within biological research contexts. Dudoit's work extends to the design and analysis of high-throughput microarray sequencing and gene expression experiments, aimed at understanding complex relationships between genome-wide genotypes and various biological and clinical covariates. Her recent research emphasizes single-cell transcriptome sequencing (RNA-Seq) and the discovery of novel cell types, particularly in the context of stem cell differentiation. In addition to her methodological contributions, she is also a founding core developer of the Bioconductor Project, an open-source initiative designed for the analysis of biomedical genomic data.

Research Interests

Experience