Johannes Gehrke

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Johannes Gehrke
Known forResearch on database systems, data science, and data privacy
Scientific career
FieldsComputer science
Academic advisorsRaghu Ramakrishnan,

Johannes Gehrke is a German computer scientist and a Technical Fellow at Microsoft focusing on AI.[1] He is an ACM Fellow, an IEEE Fellow, and he received the 2011 IEEE Computer Society Technical Achievement Award and the 2021 ACM SIGKDD Innovation Award. From 1999 to 2015, he was a faculty member in the Department of Computer Science at Cornell University, where at the time of his leaving he was the Tisch University Professor of Computer Science.[2]

Gehrke is best known for his contributions to database systems, data mining, and data privacy. He developed some of the fastest data mining algorithms for frequent pattern mining, sequential pattern mining, and decision tree construction and one of the first sensor network query processors which pioneered in-network query processing for wireless sensor networks, and he is known for his work on data privacy. His work on data privacy resulted in a new version of OnTheMap published by the US Census Bureau, the very first public data product published by any official government agency in the world with provable privacy guarantees (using a variant of Differential Privacy).[3]


Johannes Gehrke studied from 1990 to 1993 computer science at the Karlsruhe Institute of Technology; he received an M.S. degree from the Department of Computer Science at the University of Texas at Austin in 1995 and a PhD from the University of Wisconsin, Madison in 1999 for a thesis in data mining.


From 1999 to 2015, Gehrke was a professor in the Department of Computer Science at Cornell University. His research group was popularly known as the Big Red Data Group, and he graduated 25 PhD students. From 2005 to 2008, he was Chief Scientist at Fast Search and Transfer. He has been in product groups at Microsoft since 2012, first building Delve and the Office Graph, then building people and feed experiences across all of Microsoft 365, and then serving as chief architect and head of AI of the Microsoft Teams backend. From 2020 to 2023, he had a dual role across research and product, managing all of Microsoft Research in Redmond and CTO and head of AI for the Microsoft Teams backend.

Gehrke received a National Science Foundation Career Award,[4] a Sloan Research Fellowship,[5] and a Humboldt Research Award. In 2011, he received the IEEE Computer Society Technical Achievement Award[6] and a Blavatnik Award for Young Scientists.[7] In 2014, he became a Fellow of the Association for Computing Machinery,[8] and in 2020 he was elected an IEEE Fellow.[9] In 2021, he received the ACM SIGKDD Innovation Award,[10] which "recognizes individuals for their outstanding technical contributions to the field of knowledge discovery in data and data mining that have had lasting impact in furthering the theory and/or development of commercial systems."[11]


Since its second edition, Gehrke has been a co-author of one of the main textbooks on database systems, commonly known as the Cow Book.[12]


  1. ^ "Making the future of work work for you with Dr. Johannes Gehrke". Microsoft Research. 17 July 2019. Retrieved 19 July 2019.
  2. ^ "Gehrke, Joachims honored for work in computer science". Cornell Chronicle. Retrieved 3 October 2019.
  3. ^ "OnTheMap Help and Documentation, Confidentiality Protection". United States Census Bureau. Retrieved 9 December 2020.
  4. ^ "Four Cornell faculty members receive NSF 'Early Career' awards | Cornell Chronicle". Retrieved 25 May 2018.
  5. ^ "2003 Annual Report, Alfred P. Sloan Foundation" (PDF).
  6. ^ "Johannes Gehrke • IEEE Computer Society". Retrieved 25 May 2018.
  7. ^ "Johannes Gehrke | Blavatnik Awards for Young Scientists". Retrieved 25 May 2018.
  8. ^ "ACM Names Fellows for Innovations in Computing". Retrieved 25 May 2018.
  9. ^ "IEEE Computer Society Announces 2020 Fellows". Retrieved 18 July 2020.
  10. ^ "2021 SIGKDD Innovation Award: Johannes Gehrke". Retrieved 1 January 2024.
  11. ^ "SIGKDD Awards". Retrieved 1 January 2024.
  12. ^ "Database Management Systems (Third Edition)". Retrieved 25 May 2018.

External links

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