- Advise the leadership of an AI-native personal-finance company on impact strategy, partnership development, and outcome measurement, embedding accountability for consumer financial well-being into product and partnership design.
Founder who built and scaled one of the nation's first data-driven financial-health platforms; advisor to the CFPB, the Federal Reserve, and the Urban Institute on the product choices that shape consumer financial outcomes. Areas of focus: consumer credit, financial-health measurement, applied AI and recommendation systems, product strategy, and policy.
Experience
Earlier
Selected product, data & AI work
Classification model translating customer-profile data into personalized, explainable product recommendations at the point of decision; integrated into Salesforce. Built with IBM's Data Science & AI Elite Team; nominated for VentureBeat "AI for Good."
Practical taxonomy for measuring progress across savings, debt, credit, and banking; causal impact validated by a randomized controlled trial.
Consumer product for cash-flow smoothing and goal-based savings; an early model for the cash-advance-plus-savings design now common in consumer fintech.
Framework for responsible AI governance in consumer finance, from recommendation logic to consumer data rights; foundation for a product-vetting mechanism.
Data architecture and ETL pipelines turning five years of longitudinal behavioral data into next-best-action protocols across 800+ deployments.
Education
Awards & honors
Affiliations & advisory
Publications