American Association for Cancer Research

Integrative Molecular Epidemiology

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Intergrative Molecular Epidemiology Workshop

A New Workshop Designed to Accelerate the Training of the Next Generation of Cancer Researchers


Integrative Molecular Epidemiology
July 15-20, 2013
Seaport Boston Hotel
Boston, MA
Application deadline: Monday, March 11

DIRECTOR:
Thomas A. Sellers, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL

CO-DIRECTORS:
Peter Kraft, Harvard School of Public Health, Boston, MA
Margaret R. Spitz, Baylor College of Medicine, Houston, TX

FACULTY:
John D. Carpten, The Translational Genomics Research Institute (TGen), Phoenix, AZ
Ellen L. Goode, Mayo Clinic College of Medicine, Rochester, MN
Christopher Haiman, University of Southern California, Los Angeles, CA
Jean-Pierre J. Issa, Temple University, Philadelphia, PA
Lorelei A. Mucci, Harvard School of Public Health, Boston, MA
Paul A. Scheet, The University of Texas MD Anderson Cancer Center, Houston, TX
Wei Zheng, Vanderbilt University Medical Center, Nashville, TN

The Integrative Molecular Epidemiology Workshop is an innovative new workshop designed to accelerate the training of the next generation of cancer researchers who must be well-skilled in the integration of biology and epidemiology in studies of etiology and outcome. The workshop is primarily targeted toward molecular epidemiologists, but the materials are designed to also be appropriate for geneticists, statisticians, bioinformaticians, molecular biologists, physician scientists and others who have completed basic course work in epidemiology. The highly qualified faculty assembled to teach this workshop have expertise that spans these disciplines. All lectures and laboratories will be cognizant of issues like feasibility, scalability, quality control and practical limitations. Formal didactic lectures will take place with extensive time for discussion. “Laboratories” will build upon the information provided in the lectures with problem-solving sessions and “hands-on” applications of statistical and bioinformatics methods. Participants will work collaboratively in small groups throughout the duration of the workshop.