Abigail Gertner
Department Head, AI-Enhanced Discovery And Decisions at MITRE
Arlington, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolAbigail Gertner is a seasoned AI research and engineering leader with 12+ years at MITRE, now heading the AI-Enhanced Discovery and Decisions department to bridge human cognition and machine intelligence. She combines a Ph.D. in Computer Science with a background in cognitive psychology and psycholinguistics to design systems that help people learn, interpret, and make decisions in data-rich environments. Her recent work spans deep neural models of team behavior, state-of-the-art information representation and discovery for unstructured text, and governance efforts ensuring security, reliability, and equity in deployed AI. Abigail has advanced through technical and leadership roles at MITRE since 2000, pairing hands-on modeling expertise with organizational impact. Colleagues know her for turning cognitive science insights into practical, auditable AI tools that improve decision quality in complex settings. Based in Arlington, MA, she brings a rare blend of academic rigor and operational focus to applied AI at scale.
12 years of coding experience
27 years of employment as a software developer
Bachelor of Arts (B.A.) Cognitive Psychology and Psycholinguistics, Bachelor of Arts (B.A.) Cognitive Psychology and Psycholinguistics at Harvard UniversityPh.D. Computer Science, Ph.D. Computer Science at University of Pennsylvania
Github Skills (6)
visualization8
deep-learning3
machine-learning3
pytorch3
topic-models3
neural-network2
Programming languages (1)
Github contributions (2)
STIXProject/stix-viz
Sep 2013 - Jun 2015
Contributions:3 releases, 169 commits, 6 pushes in 1 year 9 months
stixvisualization
mitre/tmnt
Aug 2019 - Aug 2019
Algorithms for training state-of-the-art neural topic models
Contributions:4 commits in 1 day
pytorchartneural-topic-modelsdeep-learningneural-networks
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