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About Susan Gruber

Susan Gruber is founder and Principal of Putnam Data Sciences, LLC, a statistical consulting firm specializing in casual inference and machine learning approaches to risk score prediction. Her substantive focus is on initiating and facilitating methods development for detecting safety signals in electronic health data and applications of super learning in predictive modeling and propensity score estimation. Her key contributions in targeted learning include data-adaptive methods for propensity score estimation and the development of software for point treatment and longitudinal analyses. She holds a Ph.D. in Biostatistics, an MPH in Epidemiology and Biostatistics, and an MS in Computer Science.

Positions

October 2017 - Present Founder and Principal, Putnam Data Sciences, LLC
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January 2016 - April 2017 Assistant Professor and Director, Biostatistics Center, Harvard Pilgrim Health Care Institute and Harvard Medical School ‐ Population Medicine
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March 2014 - October 2015 Senior Director, Reagan-Udall Foundation for the FDA ‐ IMEDS-Methods Research
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Curriculum Vitae



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Honors and Awards

  • Eric Lehmann Award for Outstanding Ph.D. Dissertation in Theoretical Statistics

Education

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June 2007 - May 2011 Ph.D., University of California, Berkeley, California ‐ Biostatistics
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September 2005 - June 2007 MPH, University of California, Berkeley, California ‐ Epidemiology and Biostatistics
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September 1987 - June 1989 MS, University of California, San Diego
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September 1978 - June 1982 BA, Northwestern University
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Contact Information

sgruber@putnamds.com


Articles (20)

Technical Reports (9)