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Kevin Coombes, Ph.D.
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krc@mdacc.tmc.edu
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Associate Professor, Manager of Bioinformatics |
Department of Biostatistics |
University of Texas M.D. Anderson Cancer Center |
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This year, we are excited to announce that our preconference seminar speaker will be Dr. Kevin Coombes, University of Texas M.D. Anderson Cancer Center on November 10, 2004. The seminar will provide an overview of microarrays, from fabrication to analysis, with time for Q&A and discussion.
The seminar will be held on November 10, 2004 at the Hilton Hotel in Durham, NC from 10:00 AM to 5:00 PM. The early bird fee for this seminar is $175.00. Lunch and afternoon breaks will be provided.
If you are interested in attending please register at the CAMDA04 Conference registration page.
Pre-Conference Agenda:
10:00 - 12:00 |
Session 1 |
12:00 - 1:30 |
Lunch |
1:30 - 3:30 |
Session 2 |
3:30 - 3:50 |
Break |
3:50 - 5:00 |
Q & A / Open Discussion |
Biographical Information:
Kevin Coombes received his Ph.D. in pure mathematics in 1982 from the University of Chicago. He worked in the abstruse areas of algebraic K-theory and arithmetic algebraic geometry during a postdoctoral fellowship at the Massachusetts Institute of Technology, assistant professorships at the University of Oklahoma and the University of Michigan, and an associate professorship at the University of Maryland in College Park. In the mid 1990’s, after an inordinately long time in the wilderness, he saw the light and shifted his research interests to bioinformatics.
Since 1999, Kevin Coombes has been an associate professor in the Department of Biostatistics at the University of Texas M.D. Anderson Cancer Center, where he now heads the Section of Bioinformatics. His current research focuses on statistical, mathematical, and computational methods to understand highly multivariate biological data arising from microarrays, SAGE, or proteomics. He is particularly interested in methods that incorporate existing biological knowledge early in the analytical process. He has received awards for “Best Presentation” at the 2001 CAMDA (Critical Assessment of Microarray Data Analysis) conference at Duke University for his work on “Biology-driven clustering of microarray data”, for “Best Abstract” at the First Annual Proteomics Data Mining Conference for his work on “A comprehensive approach to the analysis of MALDI-TOF proteomics spectra from serum samples”, and for “Best Presentation” at the 2002 CAMDA conference for his work on “Organ-specific differences in gene expression and UniGene annotations describing source material”.
Sponsors:
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