Bio
Data-science leader with 25+ years turning raw data into strategic insight and measurable impact. I integrate rigorous scientific inquiry with cutting-edge machine learning and AI, prioritizing solutions that are transparent, explainable, and immediately actionable.
Much of my career has revolved around the science and practice of win‑win relationships. During my time in academia, my research focused on incentives that align the interests of individuals and organizations. Through my 20+ years in healthcare, I have used data and science to make care more patient‑centered, with a focus on initiatives that mutually benefit patients, providers, health plans, and other stakeholders.
A few highlights
- Led domestic and international data science teams at UnitedHealth Group supporting initiatives in personalized medicine, decision support, remote and virtual care, and NLP.
- Used large-scale analytics and machine learning at Kaiser Permanente to move patient experience ratings from the bottom 25% to the top 25% across 35+ hospitals: fastest improving system in the nation.
- Supported faculty research at Stanford Graduate School of Business using petabyte-scale pipelines, NLP, image processing, and secure hybrid cloud systems.
- Led a data science team at OODA Health focused on real-time payer–provider–member collaboration, digital payment systems, and automation of prior authorization.
- Led projects at Abt Associates involving emergency social media monitoring, sentiment analysis, and predictive analytics for public health.
- Published incentives-alignment and impact-of-change research as a Wharton PhD and Temple Faculty, with 1,800+ citations.