Westat Showcases AI Expertise at 2025 SDSS

Westat expertise in statistics and data science will be on hand at the upcoming Symposium on Data Science and Statistics (SDSS) in Salt Lake City, Utah, April 29-May 2, 2025. The event is organized by the American Statistical Association (ASA) and provides an opportunity for data scientists, computer scientists, and statisticians to come together and exchange ideas. This year’s theme, Bridging Disciplines: Advancing AI, Statistics, and Data Science Together, highlights the growing intersection of AI and statistical methodologies—a space where Westat’s research is making a significant impact.

Attendees can expect insightful discussions on how AI-driven methodologies are shaping the future of public health and statistical analysis. The event is an opportunity to engage with Westat experts and explore cutting-edge research at SDSS 2025.

Thursday, May 1, 2025:  5:45 pm ET; 3:45 pm MT

Westat’s John Riddles, Principal Statistical Associate for Statistics and Data Science, will be presenting Enhancing Public Health Surveillance: Fine-Tuning Large Language Models for Adverse Drug Event Classification. The presentation is the result of a collaborative effort with Westat co-authors Josh Turner, Julianna Lee, Jeremy Corry, Rashi Saluja, Sean Chickery, Gizem Korkmaz, Marcelo Simas, and Kevin Wilson.

Friday, May 2, 2025: 10:25 am ET; 8:25 am MT

Riddles will also be presenting Addressing Missing Data in Multisite Learning Health Systems: Statistical Imputation Using MICE. He will discuss the application of multiple imputation by chained equations (MICE) to handle missing data in the consolidated CAB dataset.