Adam Black is a data scientist with 11 years of experience building reliable, auditable analytics and infrastructure for observational health research. He specializes in designing and governing data models and pipelines—most recently contributing back-end and DevOps expertise to the widely used OHDSI OMOP Common Data Model by consolidating DDLs, refactoring object-creation logic, and adding cross-platform CI/CD tests. Based in Rotterdam and currently at Erasmus MC, he has helped scale federated research tooling for the Darwin EU network and previously delivered production analytics at Odysseus and Maine Medical Center. Comfortable in R and SAS, Adam blends deep mathematical training with practical engineering chops (including VBA and CI/CD) to turn complex clinical data requirements into maintainable, well-tested systems.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Arts (B.A.), Mathematics, 4.0, Bachelor of Arts (B.A.), Mathematics, 4.0 at University of Maine at Farmington
Bachelor of Arts (B.A.), Economics, Bachelor of Arts (B.A.), Economics at University of Tennessee-Knoxville
Contributions:6 reviews, 63 commits, 17 PRs in 2 days
Contributions summary:Adam's primary contribution was the consolidation of DDL (Data Definition Language) code for the OMOP Common Data Model. They refactored and consolidated functions related to creating database objects, including primary and foreign keys. The user implemented tests to ensure the functionality of the DDL creation functions. They also worked on integrating and testing with various database platforms using both the backend code and the CI/CD pipeline to support this.
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