A Career at the Intersection of Science, Data and Impact
My work connects clinical research, data, technology, and regulatory science to advance research quality, real-world evidence, and better patient outcomes.
Publications, abstracts & poster
Master’s completed · Doctorate in progress
My Professional Journey
Early Foundations
Developing expertise in clinical research, clinical data management, and quality controls through federally sponsored programs.
Expanding Impact
Progressing into oncology evidence generation and leading integrated clinical data operations and research programs.
Innovation and Transformation
Advancing data governance, multidisciplinary operations, and responsibly implemented AI-assisted clinical abstraction.
Today
Continuing to develop a scholarly perspective through doctoral study in regulatory science and clinical research management.
Education, certifications & credentials.
Professional practice informed by formal education, ongoing study, and credentials spanning research, data management, project leadership, and patient-centered care.
Academic preparation
Professional certifications
Renewal in progress; not presented as a currently active certification.
Leadership philosophy, association affiliations, and expert working-group participation are documented on the Leadership Philosophy page ↗.
Back to About navigationQuestions I’m Exploring.
My experience in clinical research and data management, together with doctoral studies in regulatory science, continues to shape my curiosity about evidence quality, research operations, and emerging technology. These questions inform my reading, coursework, and professional reflection.
What makes clinical data fit for purpose?
How data quality, governance, and evidence requirements interact across research settings and data sources.
How can innovation strengthen research integrity?
Where emerging technologies, including AI, can be responsibly integrated into research and data operations.
How should scientific and operational decisions connect?
How regulatory considerations, feasibility, study objectives, and execution practices affect the reliability of evidence.
Explore related perspectives in Insights & Perspectives ↗.
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