Presented By O'Reilly and Cloudera
Make Data Work
Sept 29–Oct 1, 2015 • New York, NY
Reza Zadeh

Reza Zadeh
CEO | Adjunct Professor, Matroid | Stanford

Website | @Reza_Zadeh

Reza Bosagh Zadeh is founder and CEO at Matroid and an adjunct professor at Stanford University, where he teaches two PhD-level classes: Distributed Algorithms and Optimization and Discrete Mathematics and Algorithms. His work focuses on machine learning, distributed computing, and discrete applied mathematics. His awards include a KDD best paper award and the Gene Golub Outstanding Thesis Award. Reza has served on the technical advisory boards of Microsoft and Databricks. He is the initial creator of the linear algebra package in Apache Spark. Through Apache Spark, Reza’s work has been incorporated into industrial and academic cluster computing environments. Reza holds a PhD in computational mathematics from Stanford, where he worked under the supervision of Gunnar Carlsson. As part of his research, Reza built the machine learning algorithms behind Twitter’s who-to-follow system, the first product to use machine learning at Twitter.

Sessions

9:00am–5:00pm Tuesday, 09/29/2015
Hardcore data science
Hardcore Data Science
 Location: 1 E10 / 1 E11
Ben Lorica (O'Reilly), Reza Zadeh (Matroid | Stanford), David Blei (Columbia University), Anima Anandkumar (UC Irvine), Hussein Mehanna (Facebook), Jennifer Chayes (Microsoft Research), Ben Recht (University of California, Berkeley), Tanzeem Choudhury (Cornell and HealthRhythms), Jenn Wortman Vaughan (Microsoft Research), Adam Marcus (B12), Stefanie Jegelka (M.I.T.), Mikhail Bilenko (Microsoft), Reynold Xin (Databricks)
Average rating: ****.
(4.00, 4 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.
9:05am–9:30am Tuesday, 09/29/2015
GPU/CPU acceleration for matrix computations and neural networks on Spark
Hardcore Data Science
 Location: 1 E10/1 E11 Level: Intermediate
Reza Zadeh (Matroid | Stanford)
Average rating: ***..
(3.33, 3 ratings)
We present the design decisions and extensive benchmarks for distributed matrix computations on Spark. Read more.