Hemant Ishwaran, Ph.D.,

Roles

• Biography

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  For the last 15 years I have studied and applied machine learning methods to public health, medical and informatics settings, especially to CVD, heart transplantation, cancer staging and gene cancer therapy resistance and developed open source software used by data analysts all across the world, including the random survival forest method I pioneered. An example of a real world application of my work is my role as an Expert Panel Member for the AJCC (American Joint Committee on Cancer) where I developed a machine learning data driven procedure for cancer staging. This method is now used by AJCC and is published in the AJCC Cancer Staging Manuals.

• Education & Training

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  Education

  1993: Yale University, New Haven, Connecticut

  PhD, Statistics

  1988: Oxford University, Oxford, England

  M.Sc., Applied Statistics

  1987: University of Toronto, Toronto, Canada

  BS, Mathematics Statistics

  Post Graduate Training

  1995: Harvard University, Boston, MA

  Fellowship, Statistics

• Research Interests

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  See Biography.

• Publications

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• Professional Activities

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