Jen’s work involves the secondary use of real-world data—including health insurance claims and electronic health record data—as potential sources of evidence to inform public and population health research. Her expertise focuses on frameworks and methods of curating, structuring, harmonizing, linking, analyzing, and sharing health care data from disparate sources without sacrificing data integrity or patient privacy.
I enjoy tackling real-world analytic challenges using collaborative, interdisciplinary, team-based approaches and particularly enjoy the data provenance, governance and analytic challenges introduced by multi-site studies.
Areas of Expertise:
- Understanding How Data Provenance Drives Data Usage
- Designing/Developing/Evaluating Common Data Models
- Developing Reusable, Flexible, and Scalable Analytic Tools
- DVM, Cummings School of Veterinary Medicine at Tufts University
- MA, George Washington University