Distinguished expert in biometric presentation attack detection and unconstrained face recognition systems with over 15 years of research and leadership experience in U.S. national security and technology sectors. Holds a Ph.D. in Computer Science and has served in senior technical and leadership roles at federal intelligence agencies and a major technology company. Recipient of a prestigious federal award with demonstrated expertise in computer vision, 3D biometrics, iris recognition, facial feature analysis, and AI/ML systems for biometric authentication and spoofing detection.

Formal Education

  • Ph.D. in Computer Science from a top-tier research university
  • M.S. in Computer Science from a major research institution
  • B.S. in Computer Engineering from a leading research university

Career Highlights

  • Technical Program Manager and Data Program Lead at a major technology company, currently directing teams of 80+ full-time employees and contractors for next-generation user interaction research including data collection, AI/ML processing, privacy, security, and ethics
  • Director of Science and Technology and Deputy Assistant Director at a federal intelligence agency, responsible for legislatively mandated science and technology activities
  • Program Manager at a federal research agency, directing over 200 scientists and engineers across 25+ organizations worldwide on large-scale research programs including biometric presentation attack detection and unconstrained face recognition
  • Founded and built a specialized research team at a federal research laboratory, growing the team to 7 full-time staff and serving as Principal Investigator on substantial federal research funding spanning 10+ projects
  • Successfully transitioned biometric technologies to over 20 Intelligence Community organizations through leadership of major research programs for unconstrained face recognition and biometric presentation attack detection
  • Joint Faculty member at a major research university
  • Recipient of a prestigious federal award for science and engineering and an early career award from a research institution

Expert Qualifications

  • Leading authority on biometric presentation attack detection and anti-spoofing systems with peer-reviewed publications and multiple patents in iris recognition via plenoptic imaging
  • Extensive subject matter expertise in supporting U.S. national security operations, having worked at federal intelligence agencies and a federal research laboratory on classified and unclassified intelligence programs
  • Proven ability to translate complex technical biometric systems and AI/ML concepts for legal and non-technical audiences, with featured appearances in major media outlets
  • Available for expert testimony and litigation support on matters involving biometric authentication systems, facial recognition technology, anti-spoofing systems, iris recognition, and AI/ML applied to biometric systems