Jay Lingle is a highly experienced Senior Research Scientist at the Pacific Northwest National Laboratory (PNNL) with a strong background in cybersecurity, data science, artificial intelligence, and machine learning. He focuses on developing innovative solutions for national security challenges, particularly in areas such as critical infrastructure protection, cyber-physical systems security, and adversarial machine learning. Jay is recognized for his leadership in research projects, his contributions to scientific literature, and his ability to translate complex technical concepts into practical applications. He holds a Ph.D. in Computer Engineering from Iowa State University and has been with PNNL since 2008, consistently contributing to advancements in computational and analytical capabilities.
Jay Lingle's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Received an R&D 100 Award for his contribution to StreamWorks, a streaming graph analytics platform. R&D 100 Awards honor the 100 most innovative technologies and services of the past year.
Leads and contributes to significant research projects at PNNL focusing on cybersecurity for critical infrastructure, operational technology (OT) security, and the application of AI/ML to detect and mitigate cyber threats.
Authored and co-authored numerous peer-reviewed publications, conference papers, and technical reports in the fields of cybersecurity, data analytics, and machine learning. Frequently presents research findings at national and international conferences.
Contributed to the development and application of advanced analytical techniques, including machine learning and graph analytics, to solve complex problems in national security and energy domains.
Recognized with a PNNL Pathway to Excellence Award for exceptional contributions and leadership within the laboratory.
Clemson University - Year 1971
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