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Krista Gile

From Wikipedia, the free encyclopedia

Krista Jennifer Gile is an American statistician known for her research on respondent-driven sampling, on exponential random graph models, and more generally on the statistical behavior of social networks.[1] She is an associate professor in the department of mathematics and statistics of the University of Massachusetts Amherst.

Education and career

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Gile grew up in Shrewsbury, Vermont, where her father Richard H. Gile was an engineer and businessman.[2] She graduated in 1998 from the Rensselaer Polytechnic Institute, where she majored in electrical engineering with a minor in sociology. After earning a master's degree in science and technology studies at Virginia Tech in 2000, she worked from 2000 to 2003 as Assistant Director of Research at Advocates for Human Potential, Inc.[3] In this period, she also continued to take graduate classes, delivered meals for the poor and taught mathematics to underprivileged girls.[1]

At the suggestion of an amateur rugby teammate and with the encouragement of a sociological theory professor, she returned to graduate school,[1][2] studying statistics at the University of Washington, where she completed her doctorate in 2008.[3] Her dissertation, Inference from Partially-Observed Network Data, was supervised by Mark S. Handcock.[4] After two years as a Postdoctoral Prize Research Fellow at Nuffield College, Oxford, she joined the UMass Amherst faculty in 2010.[3]

References

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  1. ^ a b c Lavine, Michael (2012–2013), "Krista Gile: Keep finding the unexpected" (PDF), Faculty Profile, Department of Mathematics and Statistics Newsletter, 28, University of Massachusetts Amherst: 2
  2. ^ a b "Krista Gile", Faculty Profile, UMass Amherst College of Natural Sciences
  3. ^ a b c Curriculum vitae (PDF), University of Massachusetts Amherst, August 2015, retrieved 2018-09-21
  4. ^ Theses, University of Washington Department of Statistics, retrieved 2018-09-21
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