Associate Professor · AI Researcher · Speaker
I work on how academic and clinical research teams adopt AI into their workflows — the training programs, validation strategies, and governance structures that make integration responsible. My practice is grounded in Process Provenance: the principle that AI output is only defensible when the orchestration behind it is transparent and documented.
Deep research briefs generated by Rook (AI research engine) and curated for public release. Full archive in the vault.
How AI systems are reshaping trial design, endpoint selection, and statistical reporting — and what rigor looks like in that context.
Fabrication risk, citation hallucination, and what it takes for AI-assisted research to meet publication standards.
Practical frameworks for using AI tools in academic workflows without compromising intellectual ownership or institutional policy.
Peer-reviewed research on AI integration, responsible use, and clinical translation.
Grambow SC, Desai M, Weinfurt KP, Lindsell CJ, Pencina MJ, Rende L, & Pomann GM · Journal of Clinical and Translational Science, 9(1):e131, 2025
Cross-sectional survey of 69 biostatisticians across two academic medical centers. Of the 64% who reported using LLMs, nearly half used them daily — yet 70.7% reported significant errors including incorrect code, statistical misinterpretations, and hallucinated functions. Proposes eight guiding principles for responsible integration with emphasis on verification strategies and structured training.
AI talks for academic, clinical, and professional audiences. Available for conferences, workshops, and institutional training.
March 31, 2026 · Duke Department of Population Health Sciences · 15+ participants
March 25, 2026 · Duke DCRI Biostatistics AI Working Group · 15+ participants
Where the downstream consequence is a patient, not a product.
February 25, 2026 · Duke Department of Population Health Sciences · 30+ participants
February 12, 2026 · BIOTRAIN 754 "The Responsible Scientist II" · 80+ PhD SOM Students
January 30, 2026 · Second Annual Duke Department of Medicine AI & Medicine Symposium · 70+ participants
January 6, 2026 · North Carolina Alliance for Health Professions · 15+ participants
October 30, 2025 · LinkedIn Live Webinar · 30+ participants
With Hayden B. Bosworth
October 8, 2025 · Second Annual Duke Summit on AI for Health Innovation · 150+ participants
July 31, 2025 · Duke Learning Health System Training Program · 10 participants
July 29, 2025 · Duke Community Affairs, Future Schools Workshop · 15 Durham Public Schools teachers & students
July 14, 2025 · InnovateHER at Duke, Duke Community Affairs · 15 middle-school students
July 11, 2025 · Duke & NCCU Summer Undergraduate Program · 25 participants
April 16, 2025 · Duke CTSI Accelerator Core · 8 participants
February 13, 2025 · Duke OBGE Responsible Conduct of Research Course · ~100 students
January 2025 · Duke Special Events Planners Council · 65 participants
With D. Stein and H. Koslow
Provenance Labs is the hub. Each of these companion sites was built for a specific talk — the body of work it ties together.
Duke Summit on AI for Health Innovation · Oct 2025 · 150+ participants
Beyond the Chatbot: Designing the Human Systems for AI-Powered Health Innovation.
bootstrappers-playbook.netlify.app →Duke AI & Medicine Symposium · Jan 2026 · 70+ participants
Orchestrating Professional Reliability in the AI Era.
horizon-mandate.netlify.app →BIOTRAIN 754 "The Responsible Scientist II" · Feb 2026 · 80+ PhD students
Responsible AI in Biomedical Research.
stewards-schema.netlify.app →Duke Dept of Population Health Sciences · Feb 2026 · 30+ participants
Responsible AI in Biomedical Research: from policy to workflow.
practitioners-compass.netlify.app →Available for talks, workshops, consulting engagements, and media appearances on AI in academic and clinical contexts.