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Jaime Teevan

Jaime Teevan
Born 1976 (age 40–41)
Fields Computer science
Human-Computer Interaction
Information Retrieval
Institutions Microsoft Research
Alma mater Massachusetts Institute of Technology
Yale University
Doctoral advisor David Karger
Notable awards TR35 (2009)
Borg Early Career Award (2014)
Karen Spärck Jones Award (2016)
Website
teevan.org

Jaime Teevan is an American computer scientist known for her research in human-computer interaction and information retrieval. She is particularly known for the work she has done on personalized search. According to the Technology Review, Teevan "is a leader in using data about people's knowledge, preferences, and habits to help them manage information."

Teevan received and a B.S. in Computer Science from Yale University and a Ph.D. and S.M. from MIT.

She is currently a researcher at Microsoft Research and an affiliate professor at the University of Washington. There she co-authored the first book on collaborative information seeking,. She also edited a book on Personal Information Management (PIM), edited a special issue of Communications of the ACM on the topic, and organized workshops on PIM and query log analysis. She has published numerous technical papers, including several best papers, and was chair of the Web Search and Data Mining (WSDM) 2012 conference.

Teevan developed microproductivity, where complex information tasks are broken down into a series of smaller microtasks that can be completed more easily and efficiently. A 2017 article in the New York Magazine quotes her as saying, "I could probably pretty easily find an extra hour in my day at work, just in these little micro-moments of time when I’m not being productive."

Teevan was named a Technology Review (TR35) 2009 Young Innovator for her research on personalized search and received the CRA-W Borg Early Career Award (BECA) in 2014. In 2016 she received the Karen Spärck Jones award from the British Computer Society for her "technically strong and exceptionally creative contributions to the intersection of information retrieval, user experience and social media."


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