About
I help organizations turn artificial intelligence from an experiment into a scalable enterprise capability. As a Principal at CLA, I lead AI and data science strategy for clients across industries—designing governance frameworks, building operating models, and standing up the platforms that move AI initiatives from proof-of-concept to measurable business value.
My work sits at the intersection of technology leadership and business transformation. I partner with C-suite executives and boards to craft AI roadmaps, evaluate build-versus-buy decisions, and create the organizational structures that sustain innovation long after the first model is deployed. With a foundation in statistics (PhD, Biostatistics) and hands-on engineering experience, I bring both strategic vision and technical depth to every engagement.
- Enterprise AI Strategy
- AI Governance & Risk
- Digital Transformation
- Data Science Leadership
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PhD in Biostatistics, 2022
Indiana University
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BS in Physics, 2015
Rose-Hulman Institute of Technology
Experience
- Lead enterprise AI strategy, governance, and transformation engagements across industries.
- Design AI operating models, governance frameworks, and platform architectures for organizations scaling AI capabilities.
- Advise C-suite executives and boards on AI roadmaps, organizational readiness, and build-versus-buy decisions.
- Drive thought leadership through industry speaking engagements, published research, and executive advisory.
- Built and led CLA's data science practice, growing the team and establishing delivery standards.
- Designed and deployed machine learning solutions across pricing, forecasting, and operational optimization.
- Led client engagements translating complex analytical capabilities into measurable business outcomes.
Responsibilities include:
- Design and implement dynamic pricing methods.
- Build an automated, multifaceted, forecasting dashboard to project the growth of the company by industry, service, and location.
- Develop novel, temporal itemset mining methods to identify proitable, high-impact service combinations to market to existing clients.
- Build programs to automatically glean meaningful information from internal data such as client retention rates by industry, service, and location.
