Text Analytics Forum 2026

Shari Maginnis

Distinguished Data Scientist AI/ML Services
Press Ganey/Forsta

Picture of Shari Maginnis Shari Maginnis is a Distinguished ML Data Scientist at Press Ganey, where she designs and operationalizes generative AI systems for large-scale text analytics in healthcare. Her work focuses on agentic architectures, LLM evaluation, and ontology-driven approaches that integrate probabilistic models with structured domain knowledge.

She is a lead architect of Narrative HX, a production-grade text analytics platform that combines large language models with hierarchical taxonomies and metadata to enable consistent, interpretable, and auditable outcomes. Her work emphasizes evaluation frameworks, system-level controls, and designing for repeatability in high-stakes environments.

Shari holds an M.S. in Computer Science and Engineering from the University of Washington.