Denise Koessler Gosnell is the chief data officer at DataStax, where she applies her experiences as a machine learning and graph data practitioner to make more informed decisions with data. Her career centers on her passion for examining, applying, and advocating the applications of graph data. She has patented, built, published, and spoken on dozens of topics related to graph theory, graph algorithms, graph databases, and applications of graph data across all industry verticals. Previously, Denise created and led the global graph practice, a team that builds some of the largest distributed graph applications in the world at DataStax, and she was in the healthcare industry, where she contributed to software solutions for permissioned blockchains, machine learning applications of graph analytics, and data science. Denise earned her PhD in computer science from the University of Tennessee as an NSF fellow. Her research coined the concept “social fingerprinting” by applying graph algorithms to predict user identity from social media interactions.
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