Sep 23–26, 2019

Jennifer Kloke
Vice President, Product Innovation, Ayasdi

Website

Jennifer Kloke is the vice president of product innovation at Ayasdi. For the last three years, she’s been responsible for the automation and algorithm development for the entire Ayasdi code base and led many efforts to development cutting-edge analysis techniques utilizing TDA and AI. During that time, she was the principal investigator for a Phase 2 DARPA SBIR developing automation and data fusion capabilities. These have led to breakthroughs in the field and several patents. Jennifer also served five years as a senior data scientist analyzing a wide variety of data including point cloud, text, and networks from diverse industries including large military contractors, finance, biotech, and electronics manufacturing. Her work includes developing prediction algorithms for reducing the number of false alarms for a large military jet manufacturer as well as developing and deploying a predictive program management application at a large government contractor. Jennifer holds a PhD in mathematics, with an emphasis on topological data analysis, from Stanford University. She’s collaborated with chemists at Lawrence Berkeley National Laboratory and UC Berkeley to develop topological methods to mine large databases of chemical compounds to identify energy efficient compounds for carbon capture. She also developed a denoising algorithm to efficiently process high-dimensional data and has published in the Journal of Differential Geometry.

Sessions

10:00am10:30am Tuesday, September 24, 2019
Location: 1A 08
Jennifer Kloke (Ayasdi)
Jennifer Kloke explains how banks and financial enterprises can adopt and integrate actual risk models with existing systems to enhance the performance and operational efficiency of the financial crimes organization. Join in to learn how actual risk models can reduce segmentation noise, utilize unlabeled transactional data, and spot unusual behavior more effectively. Read more.

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