Paul Albert leads work at Weill Cornell Medicine at the intersection of research information systems, identity and access management, and AI-paired software development. He is Associate Librarian in the Samuel J. Wood Library and Identity & Access Management Architect in Information Technologies & Services (ITS), where he serves as product owner, architect, designer, and developer across a set of interconnected platforms. He leads development of ReCiter, a machine learning system for publication attribution whose current engine, the Composite Author Recognition Engine (CARE), has cut manual review burden from roughly 18% to 2% and has been validated at eight peer institutions. Building on ReCiter, he invented the Scholars Profile System (SPS), WCM's faculty research discovery platform, which includes AI-drafted faculty overviews, MeSH-aware search, and Matcha, a researcher finder that turns funding calls and collaboration requests into weighted lists of researchers. He also leads ReciterAI, which adds LLM-driven impact scoring, topic classification, and spotlight content to ReCiter's attributed publications, and CViche, which converts biomedical CVs into WCM format. As IAM Architect, he has shaped the institution's identity and access ecosystem and guided its architecture decisions. His interests include measurement of the biomedical research enterprise, research information management, and formalizing AI-paired development practice.