01
Methods
Explainable AI & Predictive Modeling
Developing interpretable prediction methods for rare outcomes, with a focus on SHAP-guided augmentation, class imbalance, and rigorous model evaluation.
SHAPrare eventssynthetic dataevaluation
Research
Methods that travel from models to practice.
My research connects statistical methodology, machine learning, implementation science, and applied health research.
02
Translation
Implementation Science
Connecting implementation questions to experimental designs and quantitative evaluation, with applications to testing workflows and evidence-based cancer care.
cluster trialsSMARTMOSThybrid designs
03
Applications
Cancer & Population Health
Examining genomic testing, geographic disparities, and population health needs to inform care delivery and the prioritization of intervention resources.
oncologygenomicshealth equityspatial methods