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The Shape of Data
April 7, 2016 @ 8:15 pm
NOTE SPECIAL DATE AND NEW LOCATION and Time
Gunnar Carlsson, Co-founder, Ayasdi Inc.
*** Bring ID (e.g. Driver’s License) for Pivotal Security ***
Starting at 6:30 pm, before our talk, there will be Cloud Foundry Meetup talks,
Talk #1: Building Cloud Native Applications with Cloud Foundry and Spring
Talk #2: Introducing the new open source Service Broker for Redis Labs
8:15 pm ACM Presentation
*** Please arrive early to be checked by Security. ***
In recent years there has been a lot of attention given to “Big Data”. In fact, many of the problems that need to be addressed relate not to the “Big”, but rather in the inherent complexity of much of the important data that is being produced. What this means is that there is a need for an organizing principle for data analysis. One such organizing principle uses methods from Topology, the mathematical discipline which concerns itself with the study of shape, or rather the higher dimensional generalization of shape. The methods give rise to new methods of modeling data, as well as feature creation and invariants of the shape of the data which are readily interpretable. We will discuss these ideas, with numerous examples from various areas within the sciences and industry.
Gunnar Carlsson is mathematician who works in the general area of topology, the study of shape within mathematics. He was educated with a B.A. in mathematics at Harvard (1973) and Ph.D., also in mathematics, at Stanford (1976). He has taught at University of Chicago, University of California (San Diego), Princeton University, and since 1991 at Stanford University. At Stanford, he was the department chair 1995-1998, and was awarded the Ann and Bill Swindells chair in the School of Humanities and Sciences. He has held an Alfred P. Sloan research fellowship, been an invited speaker at the International Congress of Mathematicians in Berkeley. His work concerned pure aspects of topology until roughly the year 2000, when he began working on the applications of topology to real world problems. He led a multi-university DARPA initiative around the area of Topological Data Analysis from 2005 to 2010. He is also the co-founder of Ayasdi Inc., a company that is commercializing topological methods. In 2015, he retired from Stanford to work full time with Ayasdi.
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