Maria Glenski leads the Foundational Data Science group in the National Security Directorate's AI and Data Analytics division at the Pacific Northwest National Laboratory. Winner of the Women in AI North America’s 2023 AI in Government, AI Disruptor of the Year award, her visionary work has disrupted conventional paradigms, driving innovation, efficiency, and positive change. Her research areas focus on methods to characterize, explain, and model complex behavior of humans, AI, and human-AI collaborative systems to address national security challenges. Examples include:



Education

Ph.D. in Computer Science, University of Notre Dame
Dissertation: Social News Consumption in Systems with Crowd-Sourced Curation
Arthur J Schmitt Leadership in Science and Engineering Fellow
Advised by Dr. Tim Weninger


B.A. in Mathematics, Saint Mary's University of Minnesota

Selected Highlights & Awards

Women in AI North America’s 2023 AI in Government, AI Disruptor of the Year award AI in Government, AI Disruptor of the Year Award, Women in AI Awards North America 2023 This award is given to women promoting policy changes for advancements in AI ecosystems on a larger scale (city/state/province/federal) or using applied AI to solve complex public sector challenges for the common good. ``We are thrilled to announce and celebrate the exceptional achievements of the winner in the category "AI in Government, AI Disruptor of the Year." Her visionary work has disrupted conventional paradigms, driving innovation, efficiency, and positive change.
Maria has not only redefined the landscape of AI in government but has also raised the bar for innovation, efficiency, and positive change. Her visionary work has disrupted conventional paradigms, pushing the boundaries of what's possible and demonstrating the profound impact AI can have on the public sector.''

AI Researcher of the Year Finalist, Women in AI Awards North America 2022

Workshop Co-Organizer, Performance and Interpretability Evaluations of Multimodal, Multipurpose, Massive-Scale Models Workshop, colocated virtually with COLING 2022

Best Paper (Outstanding Analysis), International AAAI Conference on Web and Social Media 2021
Political Bias and Factualness in News Sharing across more than 100,000 Online Communities Paper | Dataset

Best Paper Award, NLP for Internet Freedom: Censorship, Disinformation, and Propaganda (NLP4IF) Workshop @ EMNLP 2021
Leveraging Community and Author Context to Explain Performance and Bias of Text-Based Deception Detection Models Paper


Best Reviewer Awards, International AAAI Conference on Web and Social Media 2021 & 2019

Highlighted in NNSA leads national collaboration to drive next-generation in AI for nonproliferation.


Open Job Postings: