Jeremy Kyle Jennings

Jeremy Kyle Jennings

Senior Data Science And Cyber Security Researcher @ Sandia National Labs

About Jeremy Kyle Jennings

Jeremy Kyle Jennings is a Senior Data Science and Cyber Security Researcher at Sandia National Laboratories, with a diverse background in psychometrics, educational psychology, and applied mathematics.

Title

Jeremy Kyle Jennings holds the position of Senior Data Science And Cyber Security Researcher at Sandia National Laboratories. His role focuses on advancing the fields of data science and cybersecurity, where he collaborates and leads initiatives aimed at enhancing user experience and network performance.

Professional Experience

Jeremy Kyle Jennings has a diverse professional background. He currently works at Sandia National Laboratories since 2018 in the San Francisco Bay Area. Prior to this, he served as Director of Psychometrics at the National Board of Examiners in Optometry (2017-2018) in Charlotte, North Carolina. He also held a summer intern position at the National Commission on Certification of Physician Assistants in 2016. From 2012 to 2017, he was a Teaching/Research Assistant at the University of Georgia, and earlier in his career, he worked at GEICO as a Claims Representative/Medical Expense Technician (2007-2012) and GameStop as a Manager (2003-2007).

Education and Expertise

Jeremy Kyle Jennings has a solid educational foundation with advanced degrees from reputable institutions. He earned a Doctor of Philosophy (PhD) in Educational Psychology, specializing in Psychometrics and Quantitative Methodology from The University of Georgia (2014-2017). Additionally, he holds a Master of Science (M.S.) in Statistics from the same institution (2012-2014) and a Bachelor of Science (B.S.) in Applied Mathematics from Macon State College (2009-2012). His expertise spans psychometrics, quantitative methodologies, and statistical data analysis.

Key Projects and Initiatives

Throughout his career, Jeremy Kyle Jennings has led and contributed to several significant projects. He developed a metric for measuring human performance in stressful situations by combining cognitive assessments and physiological measurements. He created a scale to assess the long-term impact of educational programs on participants. He also designed manuals and data visualizations for new tools tailored for diverse audiences and implemented dimensionality reduction techniques to visualize high-dimensional network data. His work includes the development of network analysis tools for cognitive social networks and performance measurement on computer networks.

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