Sep 23–26, 2019
David Florsek

David Florsek
Architect, Innovation, IDEMIA NSS

David Florsek is the architect of innovation at IDEMIA National Security Solutions (IDEMIA NSS), where he leads efforts to define, develop, and deploy situational awareness platforms that integrate multiple types of intelligence-oriented data, including facial and biometric data, linguistic and lexicological data, historical and contextual data, and other forms of information. David has been responsible for developing and deploying systems as wide ranging as the FBI’s Integrated Automated Fingerprint Identification System (IAFIS) biometric criminal justice system and from military air-to-ground missile-targeting systems for fighter jets to ground-based missile-defense systems to university student financial management systems helping students to track their meal plans and maintenance inventory control systems. Previously, David led a successful entrepreneurial consulting small business and spent many years of software and system development and integration at Deloitte, Lockheed Martin Aeronautics, and Boeing; and was at the Centers for Disease Control and Prevention (CDC), US Department of Veterans Affairs (VA), Federal Bureau of Investigation (FBI), Department of Homeland Security (DHS), University System of Georgia, and, of course, all branches of the Department of Defense. As a developer, David designed circuitry flying today on the US Air Force’s B-52 bomber as well as software and systems operational across many agencies within the US federal government. The common thread across all of these efforts was the need to find innovative solutions to seemingly intractable problems. David has pioneered efforts in data mining, AI, and DL to extract actionable information from what was previously considered vast quantities of trash data. David specializes in developing algorithms and concepts that bridge traditional boundaries, staying within the defined law and statutes, but that solve previously unsolved problems.


1:15pm1:55pm Wednesday, September 25, 2019
Location: 1E 14
Secondary topics:  Ethics, Privacy and Security
Andrew Burt (, Brenda Leong (Future of Privacy Forum), David Florsek (IDEMIA NSS), Alex Beutel (Google Brain), Chris Wheeler (Mastercard)
Machine learning techniques are being deployed across almost every industry and sector. But this adoption comes with real, and oftentimes underestimated, privacy and security risks. Andrew Burt and Brenda Leong convene a panel of experts including David Florsek, Chris Wheeler, and Alex Beutel to detail real-life examples of when ML goes wrong, and the lessons they learned. Read more.
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