Benjamin Martin is a Research Associate at Johns Hopkins University. His current work focuses on the generation of real-world evidence by using electronic health record (EHR) and claims data, alongside machine learning and data modeling, notably through the execution of distributed OHDSI network studies across multiple healthcare organizations.
Martin’s background bridges both clinical and data science domains, earning his PhD through a joint program at Clemson University and the Medical University of South Carolina. He has been involved in defining a framework for OHDSI network study execution to enhance the repeatability and reliability of these collaborative projects. He has also led and contributed to specific OHDSI network studies, such as the Identification of Adult Dermatomyositis Patients using standardized OHDSI methods for developing and evaluating computable phenotypes. Martin also co-leads the Early-Stage Researcher (ESR) Workgroup.
In the latest edition of the Collaborator Spotlight, Martin looks back at his journey to OHDSI, the OMOP impact on Johns Hopkins students, how the ESR workgroup tries to help junior researchers begin their OHDSI journey, and plenty more.