Sigfried Gold is a medical informaticist, software engineer, and data architect with deep expertise in healthcare data analytics infrastructure, clinical terminologies, and interactive information visualization. Currently serving as Senior Research Informatics Applications Architect at Johns Hopkins School of Medicine (Biomedical Informatics and Data Science, BIDS), Gold has contributed to the National COVID Cohort Collaborative (N3C), BioData Catalyst, and Bridge2AI, among other initiatives.
Recent work centers on terminology and value set infrastructure — including Value Set Hub, a tool for developing and curating standards-based clinical value sets — and on visual interfaces that expose the hidden structure of complex biomedical knowledge, including ICD-11 Foundation visualization and LinkML schema exploration. An increasingly important thread involves preparing complex biomedical data for AI applications and bringing deeply informed LLM use into engineering and analysis practice.
Gold completed a PhD at the University of Maryland iSchool (2024), with a dissertation on value sets for real-world patient data analysis, and holds an MA in Biomedical Informatics from Columbia University and an MFA in Creative Writing from Sarah Lawrence College. Earlier work includes building the Patient Profile visualization in OHDSI’s ATLAS and collaborative research with the UMD Human-Computer Interaction Lab on temporal event visualization (EventFlow).
Full record on Google Scholar and the CV.