Overview
How do we build technology we can trust? Brinnae Bent is on a mission to explore this question through her work in education, research, public engagement, and collaboration with high-impact companies. As a leader in bridging the gap between research and industry, Brinnae has led projects and developed algorithms for the largest companies in the world. More importantly, she has built algorithms that have meaningful impacts - from helping people walk to non-invasively monitoring glucose to building tools for wildlife conservation.
As a faculty member teaching AI and Cybersecurity at Duke University, Brinnae believes that responsible use and development of AI begins with education. She has created innovative educational tools like "Hack Your Grade" and "DisagreeBot".
As Director of the TRUST Lab at Duke University, Brinnae takes an interdisciplinary approach to building more trustworthy technology.
Brinnae maintains active public dialogue through her weekly tech newsletter, “Spill the GPTea,” (spillthegptea.com) and focuses on public education in her YouTube video series “AI 4 People Who Hate Math” (YouTube @profbrinnae)
As a faculty member teaching AI and Cybersecurity at Duke University, Brinnae believes that responsible use and development of AI begins with education. She has created innovative educational tools like "Hack Your Grade" and "DisagreeBot".
As Director of the TRUST Lab at Duke University, Brinnae takes an interdisciplinary approach to building more trustworthy technology.
Brinnae maintains active public dialogue through her weekly tech newsletter, “Spill the GPTea,” (spillthegptea.com) and focuses on public education in her YouTube video series “AI 4 People Who Hate Math” (YouTube @profbrinnae)
Current Duke Appointments & Affiliations
Executive in Residence in the Engineering Graduate and Professional Programs
·
2024 - Present
Engineering Graduate and Professional Programs,
Pratt School of Engineering
Recent Scholarly Works
Aïra: Rethinking AI Research Assistants for Interdisciplinary Science
Preprint · July 14, 2026 Scientific discovery increasingly depends on interdisciplinary teams whose members contribute distinct expertise, conceptual frameworks, vocabularies, assumptions, and standards of evidence. Today's AI research assistants are largely designed to support in ... Link to item CiteExplainable AI for Biodiversity Monitoring and Ecological Image Analysis
Preprint · June 25, 2026 Artificial intelligence is transforming biodiversity monitoring by enabling automated analysis of ecological imagery collected from camera traps, drones, satellites, underwater platforms, and other sensing systems. These tools can expand the scale and spee ... Link to item CiteRecent Grants
Improving Accurate Detection of Head Impact Exposure through Auxiliary Sensor Input and Post-Processing Algorithms
ResearchCollaborator · Awarded by National Institutes of Health · 2026 - 2028CAREER: Resolving action potentials and high-density neural signals from the surface of the brain
ResearchGraduate Student · Awarded by National Science Foundation · 2018 - 2024Expanding the Open mHealth Platform to include a Digital Biomarker Discovery Pipeline (DBDP)
ResearchGraduate Student · Awarded by Chan Zuckerberg Initiative · 2020 - 2022View All Grants
Education
Duke University ·
2021
Ph.D.
Duke University ·
2018
M.S.
North Carolina State University ·
2016
B.S.