Dr. Kira Radinsky is passionate about predictive data mining, the construction of algorithms that leverage web knowledge and dynamics to predict future events. Radinsky's research at the Technion (advised by Prof. Shaul Markovitch) and Microsoft Research has produced predictive algorithms that enable early warning of globally impactful events (e.g. riots or diseases) by spotting clues in past and present news reports. Radinsky is the CTO and cofounder of SalesPredict, where she is pioneering predictive analytics solutions that increase the effectiveness of each and every sales conversation, transforming the way companies do business. Dr. Radinsky remains involved in research activities including: publishing her work, organizing workshops and tutorials, and speaking at the world's leading data mining conferences, WWW, SIGIR, AAAI and WSDM among others.
About My Research
My primary research focus is on how Web Dynamics and Knowledge can help us predict future events in our world. I investigate the changes the Web undergoes with time, from such salient changes as the addition and evolution of content, to more subtle temporal dynamics of user behavior, and how these can be used to predict future population behavior. I combine this dynamics along with other World Knowledge available on the Web to build systems that feed on numerous heterogeneous resources, such as Web activity, Real-Time media and Social media, to alert about upcoming future global events.
From the Public Media
Some fun reading about my research in the public media: FastCompany, Forbes, MIT Technology Review, BBC, NBC, Business Insider, The Wall Street Journal, Science News Daily, Mashable, Gigaom, Slashdot.
Chatting on Radio 90.7 FM (California) about Leveraging Computer Science to Save Lives
About me and my research (from the Israeli media in Hebrew): * Television: Friday Studio (Ulpan Shishi ,Channel 2), London and Kirshenbaum (Channel 10 00:31:00), Orly and Guy (Channel 10 01:39:00), Evening news (Channel 1 25:00:00) * Online News: Haaretz (English), Haaretz (Hebrew), Forbes Israel, Maariv, Hayadan, Israel Hayom, Calcalist, Walla News, Maariv; * Printed Press: Haaretz, Yedioth Ahronoth, Maariv;
Israel 66th Independece Day Torch Honoree (2014)
Honored to be one of the 14 chosen for their contribution to the state of Israel, to light a torch in honor of Independence Day, as a representative of the field of science.
GOOD 100 (2014)
Recognized as one of the 2014 GOOD 100 for research in the field of predictive data mining. The GOOD 100 represent the vanguard of creative impact from around the globe. This year's list is a diverse group of artists, activists, entrepreneurs, and innovators from over 35 countries.
35 Innovators Under 35 (2013)
Recognized by MIT Technology Review as one of the world's 35 top young innovators for accomplishments that are poised to have a dramatic impact on the world as we know it in the field of Computer Science.
10 Female Founders To Watch (2013)
Recognized by Forbes as one of 10 Female Founders To Watch Out Of Israel.
100 Inspiring people in Israel (2013)
Recognized by Maariv Magazine as one of the 100 most inspiring people in Israel
40 Under 40 Promising Businesspeople in Israel (2013)
Recognized by Globes Magazine as one of the young promising businesspeople in Israel
50 Influential Women in Israel (2013)
Recognized by Globes Magazine as one of the influential women in Israel
Facebook Fellowship (2012)
Finalist of the Facebook Fellowship for work in the field of Data Mining, Natural Language Processing and Machine Learning.
Yahoo! Key Scientific Challenge Award (2011)
Recipient of the Yahoo! KSC award for work in the field of Information Retrieval, Algorithms, and Data Mining
Google Anita Borg Prize (2009)
Recipient of the Google Anita Borg Scholarship for 20 Leading women in Computer Science.
Google Grants (2010-2012)
Google WWW Grant (2012), Google WSDM Grant (2011), Google SIGIR Grant (2010)
Best Technion CS Academic Work (2008)
Technion computer Science prize for best academic work
Best Teaching Award (2008)
Technion award for best teacher assistant
Innovation in Technology Prize (2007)
Recipient of the prestigious Technion award honoring innovations in technology