Jaime Teevan

Last updated
Jaime Teevan
Born1976 (age 47–48)
Education Yale University (BS)
Massachusetts Institute of Technology (PhD)
Awards TR35 (2009)
Borg Early Career Award (2014)
Karen Spärck Jones Award (2016)
ACM Fellow (2022)
SIGIR Academy (2022)
CHI Academy (2022)
TIME 100 AI (2023)
Scientific career
Fields Computer science
Human-Computer Interaction
Information Retrieval
Institutions Microsoft Research
Doctoral advisor David Karger
Website teevan.org

Jaime Teevan (born 1976) is an American computer scientist and Microsoft executive known for her work on AI and productivity.

Contents

Education and background

Teevan received a B.S. in Computer Science from Yale University. As an undergraduate, she sold her senior thesis to Infoseek, an early web search engine. In it she invented an early approach to using the web link graph to support information seeking. [1]

Teevan also received a Ph.D. and S.M. from MIT where she helped pioneer the field of Personal Information Management. [2] [3] [4]

Career

Teevan spent a number of years as a researcher at Microsoft Research, where she has studied various aspects of human-computer interaction, information retrieval, and computer-supported cooperative work. Her work has focused on how to help people find, manage, and use information more effectively, especially in the context of time constraints, personal preferences, and collaborative settings. [5]

From 2017 to 2018, Teevan served as Technical Adviser to Microsoft CEO Satya Nadella. [6]

She is currently Microsoft's Chief Scientist and was inaugurated as a Microsoft Technical Fellow in 2022. [7] As Microsoft has doubled down on AI-driven products and integrated research more tightly into Microsoft products, Jaime has been one of the key people driving that shift. [8] According to Business Insider, "she's the brains behind Microsoft's productivity innovations." [9]

Following the COVID-19 pandemic, Teevan lead Microsoft's Future of Work initiative to bring together researchers from Microsoft, LinkedIn, and GitHub to study how the pandemic has changed work. [10] This led to innovations in Microsoft products, including, for example, better technological support for hybrid meetings. [11]

Starting in Fall 2022, Teevan led the early M365 Copilot work to integrate the latest AI into Microsoft's core products. [12] In an interview with Reid Hoffman recorded on the day M365 Copilot launched, Teevan spoke about her experience bringing generative AI to Microsoft products. [13] She participated in the announcement of M365 Copilot to talk about the “art and science underlying Copilot.” [14]

Research and awards

Teevan has published over 100 papers at international conferences and journals and received many awards for her papers. Much of her work focuses on information retrieval, human-computer interaction, and the future of work. She co-authored the first book on collaborative information seeking, [15] and edited a book on Personal Information Management (PIM). [16]

Teevan 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." [4]

Teevan also works on 'microproductivity,' breaking down complex tasks into a series of microtasks that can be completed more easily and efficiently. [17] She developed the concept of selfsourcing, where microtasks are completed by the task owner rather than crowd workers. [18] 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." [19]

Teevan was named a Technology Review (TR35) 2009 Young Innovator for her research on personalized search [4] and received the CRA-W Borg Early Career Award (BECA) in 2014. [20] 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." [21]

In 2022, she was inaugurated as a Microsoft Technical Fellow, [7] and named to the 2022 class of ACM Fellows, "for contributions to human-computer interaction, information retrieval, and productivity". [22] That same year she also became a member of the SIGCHI and SIGIR Academies. [23] [24] In 2023 she was featured in TIME's first ever list of the 100 most influential people in artificial intelligence. [12]

Teevan also serves on the board of the Computing Research Association (CRA). [25]

Personal

Teevan is married to Alexander Hehmeyer. [26] The couple live in Bellevue, Washington and have four children. [27] Teevan is an advocate for helping researchers successfully integrate parenthood and academic efforts. [20]

Related Research Articles

Personal information management (PIM) is the study and implementation of the activities that people perform in order to acquire or create, store, organize, maintain, retrieve, and use informational items such as documents, web pages, and email messages for everyday use to complete tasks and fulfill a person's various roles ; it is information management with intrapersonal scope. Personal knowledge management is by some definitions a subdomain.

The Gerard Salton Award is presented by the Association for Computing Machinery (ACM) Special Interest Group on Information Retrieval (SIGIR) every three years to an individual who has made "significant, sustained and continuing contributions to research in information retrieval". SIGIR also co-sponsors the Vannevar Bush Award, for the best paper at the Joint Conference on Digital Libraries.

Microsoft Research (MSR) is the research subsidiary of Microsoft. It was created in 1991 by Richard Rashid, Bill Gates and Nathan Myhrvold with the intent to advance state-of-the-art computing and solve difficult world problems through technological innovation in collaboration with academic, government, and industry researchers. The Microsoft Research team has more than 1,000 computer scientists, physicists, engineers, and mathematicians, including Turing Award winners, Fields Medal winners, MacArthur Fellows, and Dijkstra Prize winners.

<span class="mw-page-title-main">Susan Dumais</span> American computer scientist

Susan Dumais is an American computer scientist who is a leader in the field of information retrieval, and has been a significant contributor to Microsoft's search technologies. According to Mary Jane Irwin, who heads the Athena Lecture awards committee, “Her sustained contributions have shaped the thinking and direction of human-computer interaction and information retrieval."

Relevance feedback is a feature of some information retrieval systems. The idea behind relevance feedback is to take the results that are initially returned from a given query, to gather user feedback, and to use information about whether or not those results are relevant to perform a new query. We can usefully distinguish between three types of feedback: explicit feedback, implicit feedback, and blind or "pseudo" feedback.

A web query or web search query is a query that a user enters into a web search engine to satisfy their information needs. Web search queries are distinctive in that they are often plain text and boolean search directives are rarely used. They vary greatly from standard query languages, which are governed by strict syntax rules as command languages with keyword or positional parameters.

Group information management (GIM) is an extension of personal information management (PIM) "as it functions in more public spheres" as a result of peoples' efforts to share and co-manage information, and has been a topic of study for researchers in PIM, human–computer interaction (HCI), and computer supported cooperative work (CSCW). People acquire, organize, maintain, retrieve and use information items to support individual needs, but these PIM activities are often embedded in group or organizational contexts and performed with sharing in mind. The act of sharing moves personal information into spheres of group activity and also creates tensions that shape what and how the information is shared. The practice and the study of GIM focuses on this interaction between personal information and group contexts.

Collaborative search engines (CSE) are Web search engines and enterprise searches within company intranets that let users combine their efforts in information retrieval (IR) activities, share information resources collaboratively using knowledge tags, and allow experts to guide less experienced people through their searches. Collaboration partners do so by providing query terms, collective tagging, adding comments or opinions, rating search results, and links clicked of former (successful) IR activities to users having the same or a related information need.

Learning to rank or machine-learned ranking (MLR) is the application of machine learning, typically supervised, semi-supervised or reinforcement learning, in the construction of ranking models for information retrieval systems. Training data may, for example, consist of lists of items with some partial order specified between items in each list. This order is typically induced by giving a numerical or ordinal score or a binary judgment for each item. The goal of constructing the ranking model is to rank new, unseen lists in a similar way to rankings in the training data.

Social information seeking is a field of research that involves studying situations, motivations, and methods for people seeking and sharing information in participatory online social sites, such as Yahoo! Answers, Answerbag, WikiAnswers and Twitter as well as building systems for supporting such activities. Highly related topics involve traditional and virtual reference services, information retrieval, information extraction, and knowledge representation.

<span class="mw-page-title-main">Eric Horvitz</span> American computer scientist, and Technical Fellow at Microsoft

Eric Joel Horvitz is an American computer scientist, and Technical Fellow at Microsoft, where he serves as the company's first Chief Scientific Officer. He was previously the director of Microsoft Research Labs, including research centers in Redmond, WA, Cambridge, MA, New York, NY, Montreal, Canada, Cambridge, UK, and Bangalore, India.

David Ron Karger is an American computer scientist who is professor and a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology.

Alice Jane Brush is an American computer scientist known for her research in human-computer interaction, ubiquitous computing and computer supported collaborative work (CSCW). She is particularly known for her research studying and building technology for homes as well as expertise conducting field studies of technology. She is the co-chair of CRA-W from 2014 to 2017.

Li Sheng, is a professor at the School of Computer Science and Engineering, Harbin Institute of Technology (HIT), China. He began his research on Chinese-English machine translation in 1985, making himself one of the earliest Chinese scholars in this field. After that, he pursued in vast topics of natural language processing, including machine translation, information retrieval, question answering and applied artificial intelligence. He was the final review committee member for computer area in NSF China.

Lorraine Borman is an American computer scientist associated with Northwestern University who specializes in information retrieval, computational social science, and human–computer interaction. She was one of the founders of SIGCHI, the Special Interest Group on Computer–Human Interaction of the Association for Computing Machinery, and became its first chair.

<span class="mw-page-title-main">ACM-W</span> Subdivision of the Association for Computing Machinery

The Association for Computing Machinery's Council on Women in Computing (ACM-W) supports, celebrates, and advocates internationally for the full engagement of women in all aspects of the computing field, providing a wide range of programs and services to ACM members and working in the larger community to advance the contributions of technical women. ACM-W is an active organization with over 36,000 members.

To commemorate the achievements of Karen Spärck Jones, the Karen Spärck Jones Award was created in 2008 by the British Computer Society (BCS) and its Information Retrieval Specialist Group. Since 2024, the award has been sponsored by Bloomberg. Prior to 2024, it was sponsored by Microsoft Research.

Meredith Ringel Morris is an American computer scientist whose contributions span HCI and AI research, including contributions in gesture interaction design, computer-supported cooperative work, information retrieval, accessible technologies and human-centered AI. She is a principal scientist and director at Google DeepMind and an affiliate professor at the University of Washington in The Paul G. Allen School of Computer Science & Engineering and in The Information School.

Hsiao-Wuen Hon is a Taiwanese-US researcher in speech technology, and coauthor of the book Spoken Language Processing. He is Corporate Vice President of Microsoft and Chairman of Microsoft's Asia-Pacific R&D Group.

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References

  1. ↑ Chen, Annie. "Jaime Teevan (TD '98): Technology with people in mind – Yale Scientific Magazine". www.yalescientific.org.
  2. ↑ Teevan, Jaime. "Supporting Finding and Re-Finding Through Personalization" (PDF).
  3. ↑ "Improving Information Retrieval with Textual Analysis: Bayesian Models and Beyond" (PDF). Archived from the original (PDF) on 2012-02-16. Retrieved 2011-03-08.
  4. 1 2 3 Kleiner, Kurt (August 2009). "TR35: Jaime Teevan, 32". Technology Review. Retrieved 10 March 2011.
  5. ↑ "The Computer-Science Researcher Who Wants to Help Automate Your Work Life". 27 March 2017.
  6. ↑ "Geek of the Week: Take a break, and read about Jaime Teevan's Microsoft research on working less – GeekWire".
  7. 1 2 "x.com".
  8. ↑ "Microsoft doubles down on AI-driven products and Jaime Teevan is leading that charge" . Retrieved 2023-08-25.
  9. ↑ "Microsoft just had a reorg that affects its Azure, Windows, and Surface teams — here are the 22 power players running its Windows and cloud software businesses". Business Insider .
  10. ↑ "Leading like a scientist: Microsoft's Jaime Teevan on the new mindset for the future of work – GeekWire".
  11. ↑ "Designing the New Hybrid Meeting Experience—for Everyone". Microsoft .
  12. 1 2 "Jaime Teevan: The 100 Most Influential People in AI 2023". 7 September 2023.
  13. ↑ url=https://link.chtbl.com/OVbBPpIa
  14. ↑ "The Future of Work with AI - Microsoft March 2023 Event". YouTube .
  15. ↑ Morris, Meredith Ringel and Teevan, Jaime (2010). Collaborative Search: Who, What, Where, When, Why, and How. Morgan and Claypool Publishers. ISBN   978-1-60845-121-0.{{cite book}}: CS1 maint: multiple names: authors list (link)
  16. ↑ Jones, William; Teevan, Jaime, eds. (2007). Personal Information Management. University of Washington Press. ISBN   978-0-295-98737-8.
  17. ↑ Teevan, Jaime (Winter 2016). "The Future of Microwork" (PDF). XRDS. 23 (2): 26–29. doi:10.1145/3019600. S2CID   19485095.
  18. ↑ Teevan, Jaime; Liebling, Daniel J.; Lasecki, Walter S. (2014). "Selfsourcing personal tasks" (PDF). CHI.
  19. ↑ Meade, Julie. "The Computer-Science Researcher Who Wants to Help Automate Your Work Life". New York Magazine. Retrieved 29 March 2017.
  20. 1 2 Knies, Rob (April 2014). "Researcher Teevan Wins Borg Early Career Award". Inside Microsoft Research. Retrieved 28 April 2014.
  21. ↑ "KSJ Award". Irsg.bcs.org. Retrieved 10 April 2018.
  22. ↑ "Global computing association names 57 fellows for outstanding contributions that propel technology today". Association for Computing Machinery. January 18, 2023. Retrieved 2023-01-18.
  23. ↑ "SIGCHI Awards 2022".
  24. ↑ "SIGIR Academy | SIGIR".
  25. ↑ "CRA Board Highlight". October 2018.
  26. ↑ "WEDDINGS; Jaime Teevan, Alexander Hehmeyer". New York Times. June 16, 2002. Retrieved 14 September 2015.
  27. ↑ Vanderkam, Laura (6 June 2015). "Women with Big Jobs and Big Families: Balancing Really Isn't That Hard". Fortune. Retrieved 14 September 2015.
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