FEBRUARY 9TH 2022 Pacific: FEBRUARY 8th 2022
20.30pm New York (Day before)
10.00am New York
00.00 am Tokyo (Day After)
Topic models for interpretable multidomain microbiome data
prof Susan Holmes
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. Her theoretical interests include applied probability, Monte Carlo Markov chains, Graph Limit Theory, Differential Geometry, and the topology of the space of Phylogenetic Trees.
She uses computational statistics, in particular, nonparametric computer-intensive methods to draw inferences about many complex biological phenomena, mostly from the areas of Immunology, Cancer Biology, and Microbial Ecology. She is interested in integrating the information provided by phylogenetic trees, community interaction graphs, and metabolic networks with sequencing data and clinical covariates, mostly from the areas of Immunology, Cancer Biology, and Microbial Ecology. Her current focus is improving the statistical analyses and reproducibility of data in perturbation studies of the Human Microbiome.