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

Anima Anandkumar
Faculty member, UC Irvine

Website

Anima Anandkumar is a principal scientist at Amazon Web Services. Anima is currently on leave from UC Irvine, where she is an associate professor. Her research interests are in the areas of large-scale machine learning, nonconvex optimization, and high-dimensional statistics. In particular, she has been spearheading the development and analysis of tensor algorithms. Previously, she was a postdoctoral researcher at MIT and a visiting researcher at Microsoft Research New England. Anima is the recipient of several awards, including the Alfred. P. Sloan fellowship, the Microsoft faculty fellowship, the Google research award, the ARO and AFOSR Young Investigator awards, the NSF CAREER Award, the Early Career Excellence in Research Award at UCI, the Best Thesis Award from the ACM SIGMETRICS society, the IBM Fran Allen PhD fellowship, and several best paper awards. She has been featured in a number of forums, such as the Quora ML session, Huffington Post, Forbes, and O’Reilly Media. Anima holds a BTech in electrical engineering from IIT Madras and a PhD from Cornell University.

Sessions

9:00am–5:00pm Tuesday, 09/29/2015
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.
10:00am–10:30am Tuesday, 09/29/2015
Hardcore Data Science
Location: 1 E10/1 E11 Level: Advanced
Anima Anandkumar (UC Irvine)
Average rating: **...
(2.50, 4 ratings)
I will demonstrate how tensor methods can yield rich discriminative features for classification tasks and can serve as an alternative method for training neural networks. Read more.
11:20am–12:00pm Wednesday, 09/30/2015
Office Hours
Location: Table B (O'Reilly Booth)
Anima Anandkumar (UC Irvine)