Sigfried Gold is a medical informaticist, software engineer, and data architect specializing in healthcare data analytics infrastructure, clinical terminologies, and interactive information visualization. Currently Senior Research Informatics Applications Architect at Johns Hopkins School of Medicine (Biomedical Informatics and Data Science, BIDS), Gold has contributed to multiple large-scale initiatives including the National COVID Cohort Collaborative (N3C), BioData Catalyst (NHLBI), and Bridge2AI.

Recent work spans several interconnected areas. In terminology and value set infrastructure, Gold designed and built Value Set Hub, a tool for comparing, curating, and creating standards-based clinical value sets, with ETL pipelines connecting VSAC, RxNorm, AHRQ HCUP, and N3C. In biomedical knowledge visualization, current projects include a visual interface for ICD-11 Foundation (the underlying polyhierarchy behind ICD-11), visual exploration tools for LinkML schemas, and ongoing work in OHDSI/OMOP vocabulary visualization. A longer-term interest involves applying visualization techniques to AI interpretability and explainability — making complex model behavior legible to clinical researchers and domain experts.

Gold holds a PhD from the University of Maryland iSchool (2024, dissertation on value sets for real-world patient data analysis), an MA in Biomedical Informatics from Columbia University, and an MFA in Creative Writing from Sarah Lawrence College — the last informing an enduring concern with how creative approaches to structure and representation can deepen understanding. With roughly three decades of software and data engineering experience across academic medical centers, federal agencies, and industry, Gold brings both technical depth and research perspective to problems at the intersection of biomedical informatics, data infrastructure, and human-centered computing.

Papers and Software Projects

• For most recent, see CV or Google Scholar page CV or Google Scholar page
• Dissertation. Value Sets for the Analysis of Real-World Patient Data: Problems, Theory, and Solutions. University of Maryland, College Park. 2024. ProQuest Dissertations & Theses — Dissertation
• Value sets and the problem of redundancy in value set repositories. Gold S, Lehmann HP, Schilling LM, Lutters WG. 2024. PLoS ONE 19(12): e0312289 — Link
• Value Set Hub: Software for developing and curating high-quality value sets. Sigfried Gold, Joseph E. Flack IV, Wayne G. Lutters, Christopher G. Chute. 2024. medRxiv — On medRxiv
• VS-Hub (TermHub). Exploration and comparison for National COVID Cohort Collaborative concept sets. 2022 - 2024 — Link — National COVID Cohort Collaborative
• ICD10 — SNOMED mapping pitfalls: Post-coordinated expressions and concept sets. Sigfried Gold, Tanner Zhang, Richard L. Zhu, Stephanie Hong, Harold P. Lehmann, Davera Gabriel, Tricia Francis, Lisa Eskenazi, Christopher G. Chute. 2022 OHDSI Symposium, Bethesda, Maryland — Poster — Abstract
• Practices, norms, and aspirations regarding the construction, validation, and reuse of code sets in the analysis of real-world data. Sigfried Gold, Harold Lehmann, Lisa Schilling, Wayne Lutters. medRxiv — On medRxiv
• Clinical Concept Value Sets and Interoperability in Health Data Analytics. Gold, S., Batch, A., McClure, R., Jiang, G., Kharrazi, H., Saripalle, R., Huser, V., Weng, C., Roderer, N., Szarfman, A., Elmqvist, N., Gotz, D.. 2018. AMIA Annual Symposium proceedings, 2018, 480-489 — Link
• Bridge2AI Standards Explorer. Interactive explorer for the Bridge2AI standards landscape — Demo
• ICD-11 Foundation Visualization. Interactive visualization of the ICD-11 Foundation component — Demo
• BDCHM Interactive Model Documentation. Dynamic, navigable documentation of the Biomedical Data Commons and Harmonization Model — Documentation
• OHDSI / ATLAS Patient Profile Visualization. Interactive display of patient medical history for observational research — OHDSI — ATLAS Contributions on GitHub
• Supergroup. Adds extreme convenience and understandability to the manipulation of Javascript data collections, especially in the context of D3.js visualization programming — Source code on GitHub — Documentation — Blog article
• MERKI Medication Parser. Distinguished Paper Award — Source code on GitHub — PubMed full-text — Distinguished Paper Award
• TreeLike arbitrary CSV visualization in D3.js — Demo — Source code on GitHub — Documentation (will require a CSV file to analyze like this MySQL world data file)
• LifeFlow and event visualization in D3.js — Demo — Source code on GitHub
• Black Hat Presentation — Black Hat Presentation
• EventFlow. Visual Analysis of Temporal Event Sequences and Advanced Strategies for Healthcare Discovery. Collaboration with University of Maryland Human Computer Interaction Lab, Ben Shneiderman, Catherine Plaisant, Megan Monroe, Krist Wongsuphasawat, and Jeff Millstein — video — EventFlow — Paper — Case Study