Jaime Teevan, Ph.D.
teevan@microsoft.com
Blog, Twitter: @jteevan
One Microsoft Way
Redmond, WA 98052
(425) 421-9299
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Jaime Teevan is a Principal Researcher at Microsoft Research in the Context, Learning, and User Experience for Search (CLUES) group, and an Affiliate Associate Professor in the Information School at the University of Washington. Working at the intersection of human computer interaction, information retrieval, and social media, she studies and supports people's information seeking activities. Jaime is best known for her research on personalized search, and she developed the first personalized search algorithm used by Microsoft's Bing search engine. The MIT Technology Review recognized Jaime's pioneering work by naming her one of 2009's 35 Innovators Under 35, and the CRA-W honored her in 2014 with the Borg Early Career Award. In 2016 she received the Karen Sparck Jones award from the British Computer Society for her contributions to improving the search process.

Much of Jaime's research looks at the social and temporal context of information use, with a recent focus on slow search. She has published a number of papers characterizing information dynamics using large-scale log analysis and given several keynotes on the topic. She also co-authored the first book on collaborative Web search and gave a TEDx talk on social network question asking. Additionally, Jaime has explored personal information management, editing a book and organizing a series of workshops on the topic. She is currently studying how to help people make productive use of short fragments of time to accomplish large tasks via selfsourcing.

Jaime is an active member of the academic community, serving on program committees, editorial boards, and organizational committees. She organized the Web Search and Data Mining (WSDM) 2012 conference and is the Program Committee Chair for the Conference on Human Information Interaction and Retrieval (CHIIR). She has published hundreds of award-winning research papers, technical articles, books, and patents, and given keynotes and lectures around the world. She received a Ph.D. and S.M. from MIT and a B.S. with honors from Yale University.

Jaime is passionate about mentoring young researchers and encouraging women to pursue computer science careers. She works closely with graduate students, talks regularly on topics related togender and family, organizes the Microsoft Research Diversity Lecture Series, and publishes a popular web series on academic writing. As a mother to four young children, Jaime is particularly interested in helping researchers integrate parenthood with their academic pursuits. She has written several articles about conference travel with children, and worked with conference organizational committees to implement better support for attendees with families.

Keywords: Information retrieval, human-computer interaction, data mining, personal information management, crowdsourcing


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