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August 2003


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Classification, clustering, and phylogeny estimation
Mon, 4 Aug 2003 13:53:09 -0500
TEXT/PLAIN (54 lines)
Washington University has been awarded a Program Project Grant to study
the genetics of leukemia (Tim Ley, Principal Investigator, Department of
Medicine). I am directing the Biostatistics Core for this project and will
be hiring a PhD level statistician with a background in clustering and
classification analysis to both analyze data from this project and develop
and test new statistical methods.

The novelty of this project involves having gene expression (gene chips),
sequence data, and clinical covariates to unravel the genetic causes of
leukemia and response to treatments. This will entail significant
statistical methodological development to merge and analyze these
disparate data sources.

The Biostatistics Core proposal (minus figures) is online for review

Two other grants that I am PI of are also likely to be funded soon.
These grants are for statistical development of clustering and
classification methods with a focus on application to pharmacogenetic data
(NIH grant) and the other grant (industry sponsored) focused on plant
genomic data analysis. This grant can be viewed at

I expect to begin searching for one or two (maybe three) PhD level
statisticians to work on these projects and am sending this to CLASSL
before placing formal ad's in the stat journals. (this is where I can find
people who know what clistering is)

I would like to hear from anyone looking for a research
assistant/post-doc/instructor level position who is interested in applying
clustering and classification methods to medical problems, developing new
methods, and writing (lots) of papers. A background in
biomedicine/genetics would be great.


William D. Shannon, Ph.D.

Assistant Professor of Biostatistics in Medicine
Division of General Medical Sciences and Biostatistics

Washington University School of Medicine
Campus Box 8005, 660 S. Euclid
St. Louis, MO   63110

Phone: 314-454-8356
Fax: 314-454-5113
e-mail: [log in to unmask]
web page: