Dr. Jennifer Kloke is the VP of Product Innovation at Ayasdi. For the last three years, she has been responsible for the automation and algorithm development for the entire Ayasdi codebase 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, bio-tech, 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 received her Ph.D. in Mathematics from Stanford University with an emphasis on topological data analysis. She has 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 de-noising algorithm to efficiently process high dimensional data and has published in the Journal of Differential Geometry.
AI and Data Sciences Showcase: Why Healthcare’s Biggest Opportunity is Tailor Made for AI
Ayasdi is the global leader in the development of enterprise-grade, machine intelligent applications for the healthcare, financial services and public sector. Powered by breakthroughs in both mathematics and computer science, the company’s software platform has already solved some of the world’s most complex challenges.