Joshua Saxe directs Invincea Labs' data science research group, whose focus is researching and developing breakthrough security data science technologies. Highlights of his work at Invincea have included leading the development of a system that automatically discovers and visualizes malware genealogical relationships, and leading the development of novel data science approaches for detecting, analyzing and visualizing both malware and malicious network behavior. Prior to starting at Invincea, Josh served as lead research engineer at Applied Minds, an inter-disciplinary technology think-tank, where he led a two-year research project focused on applying machine learning and data visualization to the problem of modeling enterprises' cybersecurity vulnerabilities.

Appearing at:

• Why Security Data Science Matters and How Its Different: Pitfalls and Promises of Data Science Based Breach Detection and Threat Intelligence

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