Website | @cloudyminds
Tim Kraska is an Assistant Professor in the Computer Science department at Brown University. Currently, his research focuses on Big Data management for machine-learning and hybrid human/machine database systems. Before joining Brown, Tim Kraska spent 2 years as a PostDoc in the AMPLab at UC Berkeley after receiving his PhD from ETH Zurich, where he worked on transaction management and stream processing. He was awarded a Swiss National Science Foundation Prospective Researcher Fellowship (2010), a DAAD Scholarship (2006), a University of Sydney Master of Information Technology Scholarship for outstanding achievement (2005), the University of Sydney Siemens Prize (2005), a VLDB best demo award (2011) and an ICDE best paper award (2013).
9:00am–5:00pm Wednesday, 10/15/2014
Hardcore Data Science
Location: 1 E14/1 E15
Ben Lorica (O'Reilly Media),
Ted Dunning (MapR),
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)
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...
9:30am–10:00am Wednesday, 10/15/2014
Hardcore Data Science
Location: E14 / E15
In this talk, Tim will present Tupleware, a new system developed at Brown University specifically aimed at the challenges faced by the typical user. The main difference of Tupleware to other frameworks is, that it automatically compiles analytical workflows into highly efficient distributed programs instead of interpreting the workflows at run-time.
4:15pm–4:55pm Thursday, 10/16/2014
Location: Table B
If you’ve got an interest in machine-learning and hybrid human/machine database systems, your time with Tim is bound to be fascinating. He’ll also discuss asynchronous machine learning models, geo-replication (specifically MDCC/PLANET), and query compilation techniques for SQL and machine learning.