PROGRAM

Next Meeting:

Pacific: FEBRUARY 8th 2022
ATLANTIC: FEBRUARY 9TH 2022

Premier Session
PACIFIC

Time:

8th FEBRUARY 
🇺🇸  20.30pm New York (Day before)
🇬🇧  1.30am London
🇯🇵  10.30am Tokyo

Second Session
ATLANTIC

Time:

9th JANUARY
🇺🇸 10.00am New York
🇬🇧 15.00pm London
🇯🇵 00.00 am Tokyo (Day After)

 

KEYNOTE TALK

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.

SELECTED TALKS

HIGHLIGHTS

RESEARCH HIGHLIGHTS