Kira Radinsky

From Wikipedia, the free encyclopedia
Kira Radinsky
Born (1986-07-28) July 28, 1986 (age 37)
Ukraine
NationalityIsraeli
Occupation(s)Computer scientist, inventor, entrepreneur
Known forPredictive data mining, Co-founding SalesPredict and Diagnostic Robotics
TitleChief Executive Officer of Diagnostic Robotics
AwardsWoman of the Year (2016 by Lady Globes magazine), Forbes 30 under 30 (2015), MIT Technology Review 35 Innovators Under 35 (2013)

Kira Radinsky (Hebrew: קירה רדינסקי; born July 28, 1986) is a Ukraine-born Israeli computer scientist, inventor and entrepreneur, specializing in predictive data mining.[1][2]


Radinsky gained recognition after being selected by the MIT Technology Review to the "35 Innovators Under 35" list. Her work was described in the popular press as predicting the first in 130 years outbreak of cholera in Cuba, based on the pattern identified by mining of 150 years of data from various sources: in poor countries, floods within a year after a drought often follow by a cholera outbreak.[1][3][4]

"I think the best way to predict the future is to create it. One of the things that we are doing right now is identifying the patterns, and when the patterns start, try to predict the next step. So, it can predict things that have a pattern. Random things? It’s a philosophical question. Do we even have random things? Or is it part of a pattern that we don’t have data for? So, if you believe there is no random thing and everything has a pattern, then AI can predict the future. We just need more data for that."

—Kira Radinsky, 2019.[5]

While working on her Ph.D. she co-founded a company, SalesPredict, based on similar ideas, but with different algorithms (the intellectual property of her work belongs to Technion).[3] It was acquired by eBay in 2016, where Kira Radinsky worked as chief scientist and the director of data science during 2016–2019.[6]

Radinsky is a member of the World Economic Forum.[7] In the year 2021, she was declared among its 'Young Global Leaders'[8][9] to be part of the proactive multistakeholder community of the world’s next-generation leaders to inform and influence decision-making and mobilize transformation".[10]

Since the end of 2021, Radinsky also is the Chief Executive Officer at Diagnostic Robotics, Tel Aviv, which she co-founded in 2019.[11] She is also a visiting professor at Technion teaching the applications of predictive data mining in medicine.[12] She has co-authored over 10 patents and more than 50 peer-reviewed articles.[6]

Awards and recognition[edit]

  • 2015 Included into the Forbes "30 under 30" young innovators and entrepreneurs list [14]


References[edit]

  1. ^ a b c "35 Innovators Under 35/Inventors/"Kira Radinsky, 27 "How good can computers get at predicting events?", by Matthew Kalman
  2. ^ "This Israeli Wants to Save the World With Big Data - and Still Protect Your Privacy", JHaaretz, August 7, 2018
  3. ^ a b "The Israeli who can predict the future"
  4. ^ Radinsky, Kira; Horvitz, Eric (2013-02-04). "Mining the web to predict future events". Proceedings of the sixth ACM international conference on Web search and data mining. WSDM '13. New York, NY, USA: Association for Computing Machinery: 255–264. doi:10.1145/2433396.2433431. ISBN 978-1-4503-1869-3.
  5. ^ "Can AI Predict Humanity's Future Events?". November 23, 2019.
  6. ^ a b "Can AI Predict Humanity's Future Events?", November 23, 2019 Psychology Today
  7. ^ "Kira Radinsky".
  8. ^ "Meet the 2021 class of Young Global Leaders". 10 March 2021.
  9. ^ "YGL2021 Press Release".
  10. ^ http://www.kiraradinsky.com/files/kiraradinsky.pdf
  11. ^ "https://www.calcalistech.com/ctech/articles/0,7340,L-3773621,00.html"
  12. ^ ""Kira Radinsky ChairWoman & Chief Technology Officer at Diagnostic Robotics"". Archived from the original on 2020-02-25. Retrieved 2020-02-25.
  13. ^ Dr. Kira Radinsky Named Lady Globes Magazine's "Woman of the Year"
  14. ^ "Forbes 30 Under 30: Enterprise Technology"

External links[edit]

Retrieved from "https://en.wikipedia.org/w/index.php?title=Kira_Radinsky&oldid=1216506172"