Executive Director at UMD Applied Research Lab for Intelligence & Security (ARLIS)
United States
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Summary
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Senior
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Top School
John Beieler is an executive director and research-focused technology leader with 13 years of experience building and scaling NLP and data-analytic systems for intelligence and academic use cases. He specializes in information extraction—particularly automated political event coding from unstructured text—and has combined that domain expertise with hands-on infrastructure work to deploy models and production pipelines at scale. A political scientist by training (Ph.D., Penn State) and former NSF IGERT fellow, he bridges rigorous methodology with operational engineering, having led S&T programs across IARPA and the Office of the Director of National Intelligence. He co-founded the Open Event Data Alliance to advance open-source political event data tools, reflecting a persistent commitment to reproducible, shared research assets. Equally comfortable as a program manager and principal architect, he has a track record of turning complex research problems into operational analytic products for both government and research partners. Notably, his career blends deep domain knowledge in political methodology with practical experience shipping realtime event-coding pipelines and geolocation-enabled analytic systems.
13 years of coding experience
10 years of employment as a software developer
PhD, Political Science and Government, PhD, Political Science and Government at Penn State University
BA, Political Science and Government, BA, Political Science and Government at Louisiana State University
A Docker image for the CLIFF geolocation software.
Contributions:8 commits, 2 PRs, 6 pushes in 2 years 1 month
geolocationdocker-imagedocker
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John Beieler - Executive Director at UMD Applied Research Lab for Intelligence & Security (ARLIS)