2026
Nathanael R. Fillmore, PhD
Computational science for precision oncology and the learning healthcare system.
Research Areas
Data, methods, and tools for precision oncology and the learning healthcare system.
Clinical AI and Risk Prediction
Developing and validating machine learning models to predict cancer risk, treatment complications, and patient outcomes at scale.
Learn more →Real-World Evidence
Generating evidence on treatment effectiveness and outcomes using large observational datasets from integrated healthcare systems.
Learn more →Data Infrastructure for Learning Healthcare
Building reusable cohorts, phenotypes, and data pipelines that enable research, quality improvement, and clinical decision support.
Learn more →Featured Initiative
PROFOUND-VET
Real-World Evidence for Cancer Care
A national VA program that builds the infrastructure to study cancer outcomes, treatment effectiveness, and long-term survivorship using standardized data across the VA healthcare system.
Learn more about PROFOUND-VET →22M+
Veterans in the VA system (1999–present)
150+
VA medical centers, with physician-researchers at VA sites nationwide
4
Disease-specific working groups
Real-world impact
by addressing gaps in clinical guidelines and pathways
Recent Publications
See all publications →2026
2026
