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Make Data Work
Oct 15–17, 2014 • New York, NY
Dafna Shahaf

Dafna Shahaf
Assistant Professor, The Hebrew University of Jerusalem


Dafna Shahaf is a postdoctoral fellow at Stanford University. She received her Ph.D. from Carnegie Mellon University; prior to that, she earned an M.S. from the University of Illinois at Urbana-Champaign and a B.Sc. from Tel-Aviv university. Dafna’s research focuses on helping people make sense of massive amounts of data. She has won a best research paper award at KDD 2010, a Microsoft Research Fellowship, a Siebel Scholarship, and a Magic Grant for innovative ideas.


9:00am–5:00pm Wednesday, 10/15/2014
Hardcore Data Science
Location: 1 E14/1 E15
Ben Lorica (O'Reilly), Ted Dunning (MapR, now part of HPE), Tim Kraska (Brown University), Alice Zheng (Amazon), Anna Gilbert (University of Michigan), Jon Kleinberg (Cornell University), Kira Radinsky (eBay | Technion), Rob Fergus (New York University and Facebook), Ben Recht (University of California, Berkeley), Brian Whitman (Spotify), Hanna Wallach (Microsoft Research NYC & University of Massachusetts Amherst), Dafna Shahaf (The Hebrew University of Jerusalem)
Average rating: ****.
(4.27, 15 ratings)
All-Day: Strata's regular data science track has great talks with real world experience from leading edge speakers. But we didn't just stop there—we added the Hardcore Data Science day to give you a chance to go even deeper. The Hardcore day will add new techniques and technologies to your data science toolbox, shared by leading data science practitioners from startups, industry, consulting... Read more.
4:30pm–5:00pm Wednesday, 10/15/2014
Hardcore Data Science
Location: E14 / E15
Dafna Shahaf (The Hebrew University of Jerusalem)
Average rating: ****.
(4.50, 6 ratings)
The amount of data in the world is increasing at incredible rates. Large-scale data has potential to transform almost every aspect of our world, from science to business; for this potential to be realized, we must turn data into insight. In this talk, Dafna will describe two of his efforts to address this problem computationally. Read more.
11:50am–12:30pm Thursday, 10/16/2014
Office Hour
Location: Table D
Dafna Shahaf (The Hebrew University of Jerusalem)
If you’re trying to make sense of large amounts of data, bring your questions to Dafna. You’ll have a fascinating conversation with him about metro maps of information, computational creativity, and computational insight. Read more.