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Trained in the French school of Data Analysis in Montpellier, Susan Holmes has been working in non parametric multivariate statistics applied to Biology since 1985. She has taught at MIT, Harvard and was an Associate Professor of Biometry at Cornell before moving to Stanford in 1998.
Articles 1–20. Professor of Statistics, Stanford University - Cited by 80,746 - Statistics and Biology - Immunology - Microbial Ecology - Reproducible research - MCMC.
Susan P. Holmes is an American statistician and professor at Stanford University. She is noted for her work in applying nonparametric multivariate statistics, bootstrapping methods, and data visualization to biology. She received her PhD in 1985 from Université Montpellier II.
Professor of Statistics. Joint Appointment or Affiliation: Bio-X. Data Science. Symbolic Systems. Applications to biology, in particular phylogenetic trees. Computational statistics, in particular, nonparametric computer intensive methods such as the bootstrap.
Trained in the French school of Data Analysis in Montpellier, Susan Holmes has been working in non parametric multivariate statistics applied to Biology since 1985. She has taught at MIT, Harvard and was an Associate Professor of Biometry at Cornell before moving to Stanford in 1998.
Susan P Holmes currently works at the Department of Statistics, Stanford University. Susan does research in Biostatistics, Cancer Research and Evolutionary Biology.
16 de oct. de 2021 · Brought up in the French School of Data Analysis (Analyse des Données) in the 1980’s, I am a Data Scientists specialized in exploring and visualizing complex biological data. I am interested in integrating the information provided by phylogenetic trees, community interaction graphs and metabolic networks with sequencing data and ...
