About Susan Gruber

Susan Gruber is a biostatistician and faculty member at Harvard Pilgrim Health Care Institute and Harvard Medical School. Her work focuses on initiating and facilitating methods development for detecting safety signals in electronic health data and applications of machine 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

January 2016 Present Faculty Member, Harvard Pilgrim Health Care Institute and Harvard Medical School ‐ Population Medicine
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March 2014October 2015 Senior Director, Reagan-Udall Foundation for the FDA ‐ IMEDS-Methods Research
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Curriculum Vitae


Disciplines

None

Honors and Awards

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

Education

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June 2007May 2011 Graduate Student, University of California, Berkeley, California ‐ Biostatistics
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September 2005June 2007 Graduate Student, University of California, Berkeley, California ‐ Epidemiology and Biostatistics
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September 1987June 1989 Graduate Student, University of California, San Diego
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September 1978June 1982 Undergraduate Student, Northwestern University
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Contact Information

susan_gruber@harvardpilgrim.org


Articles (20)

Technical Reports (9)

Software (4)

Presentations (3)