Alon Halevy

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Alon Yitzchack Halevy (until 2000: Levy) is an Israeli-American computer scientist and a leading researcher in the area of data integration.[1] He was a research scientist at Google from 2005 to 2015,[2] when he left to become head of Recruit Institute of Technology.[3][4] He left Recruit in 2018 and joined Facebook AI in 2019.[5] Until 2006, he was a professor of computer science at the University of Washington,[6] where his doctoral students included Xin Luna Dong. He received his PhD from Stanford University in 1993, under the joint supervision of Richard Fikes and Edward Feigenbaum.[7]

He is a fellow of the ACM and a winner of the 2006 VLDB 10-year best paper award.[8] He was a Sloan Fellow, and received the Presidential Early Career Award for Scientists and Engineers (PECASE) in 2000. He is the founder of two technology companies, Nimble Technology (now Actuate Corporation) and Transformic Inc.

At Google he was involved in Google Fusion Tables.[9][10]


  1. ^ Halevy, A. Y. (2001). "Answering queries using views: A survey". The VLDB Journal. 10 (4): 270–294. CiteSeerX doi:10.1007/s007780100054. S2CID 2293639. co-authored with Alberto O. Mendelzon, Yehoshua Sagiv
  2. ^ "Alon Halevy". LinkedIn.
  3. ^ Alon Halevy Google page
  4. ^ "Alon Halevy, Data Management and AI Authority from Google Research, to Head Recruit Institute of Technology (RIT)" (Press release).
  5. ^ "Alon Halevy". LinkedIn.
  6. ^ Alon Halevy at the University of Washington
  7. ^ Alon Halevy at the Mathematics Genealogy Project
  8. ^ Alon Halevy in the ACM Digital Library
  9. ^ Gonzalez, H.; Halevy, A.; Jensen, C. S.; Langen, A.; Madhavan, J.; Shapley, R.; Shen, W. (2010). "Google fusion tables". Proceedings of the 1st ACM symposium on Cloud computing - SoCC '10. p. 175. doi:10.1145/1807128.1807158. ISBN 9781450300360. S2CID 1259439.
  10. ^ Gonzalez, H.; Halevy, A. Y.; Jensen, C. S.; Langen, A.; Madhavan, J.; Shapley, R.; Shen, W.; Goldberg-Kidon, J. (2010). "Google fusion tables". Proceedings of the 2010 international conference on Management of data - SIGMOD '10. p. 1061. doi:10.1145/1807167.1807286. ISBN 9781450300322. S2CID 9133302.

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