Lauren Clark Hill is an Expert Knowledge Management Solutions Engineer at Squirro, where she supports clients in building and maintaining taxonomies, ontologies, and linked data structures that make information more findable, usable, and meaningful. With a Master of Library and Information Science from the University of Southern Mississippi and a Master of Arts in the History of Decorative Arts from George Mason University, she blends analytical precision with a deep appreciation for how people create and categorize meaning.

Over the past five years, Lauren has contributed to a range of knowledge management initiatives across sectors—from metadata enhancement in art publishing at Yale University Press, to industry taxonomy development at LinkedIn, to ad classification systems at Meta. Her work has included designing mapping strategies across disparate vocabularies, improving team training and documentation, and helping cross-functional stakeholders understand the value of well-structured information systems.

Lauren is particularly interested in the practical applications of AI in KM work. Her current focus is on how large language models (LLMs) can support three key areas: content creation, knowledge graph development, and the enrichment of existing data—especially in ways that balance machine power with human intent.

Known for making complex technical topics approachable, Lauren brings a passion for clarity, collaboration, and lifelong learning. Outside of her professional work, she enjoys board games, sewing, and ceramics—each an outlet for her curiosity and love of pattern, structure, and play.