Hot Topic Debate: Large Language Models and AI in Pharmacoepidemiology: Job tool or job takeover?

Tuesday, August 26, 2025

3:15 PM - 4:15 PM ET

Location: Ballroom AB

Presenting Author(s)

HD

Harriet Dickinson, PhD

Real world evidence, Gilead Sciences, Uxbridge, UK., United Kingdom

Co-Author(s)

DR

Donna Rivera, PharmD., MSc., FISPE

Former FDA/ Affiliate Associate Professor
University of Maryland, United States
Benjamin D. Bray, MD MBChB (he/him/his)

Evidence Generation Lead
Lane Clark & Peacock LLP, United Kingdom
JD

John Diaz-Decaro

Moderna, United States
Michele Jonsson Funk, PhD

Associate Professor
Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, United States
Henric Taavola, MScEng, PhD

Senior Data Scientist
Uppsala Monitoring Centre
Uppsala, Uppsala Lan, Sweden

This hot topic plenary explores the transformative impact of AI agents and Large Language Models (LLMs) on pharmacoepidemiology and our future workforce. Will these technologies complement or even replace human tasks in protocol development, data analysis, and regulatory engagement? Experts from industry, academia, safety monitoring, and regulatory bodies will deliver rapid-fire insights on this issue, followed by a dynamic panel and audience Q&A. Together, we’ll unpack the promises and pitfalls of LLMs, envision AI-augmented workplaces, and identify key skills for tomorrow’s researchers. With diverse perspectives and spirited debate, this session is set to challenge assumptions and ignite forward-thinking dialogue for everyone.