I lead CLA’s Artificial Intelligence and Automation practice, where my teams take AI through its full lifecycle: advising leadership on strategy and governance, engineering the infrastructure and applications that deliver the intelligence, supporting them in production, and measuring the value they return. Application development, cloud, and DevOps sit alongside data science in my practice, so the same group that recommends a direction is accountable for building it and running it.

Across that lifecycle, my work with clients covers four things:

• Advise. Deciding where AI belongs in the business and where it does not, prioritizing use cases against real economics, and defining the governance and controls that let organizations move quickly without getting ahead of their risk posture.
• Build. Engineering AI-ready foundations and the products on top of them: cloud architecture, modern application development, automation, DevOps, and the data platforms that make intelligence usable.
• Support. Running and improving what my teams deliver, from workforce enablement and adoption through the operating model that sustains results after go-live.
• Measure. Holding the work to the business case, reporting realized value, and retiring what does not earn its keep.

The outcome I aim for is transformation, not deployment. Technology only endures when a business becomes a genuine steward of its own data and systems, so I pair the engineering with deliberate change management—building the literacy, operating models, and ownership that let leaders and their teams carry the work forward long after mine steps back.

I hold a Ph.D. in biostatistics from Indiana University and a B.S. in physics from Rose-Hulman, and my work spans large language model architecture, retrieval-augmented generation, and high-dimensional statistical modeling. Before joining CLA, I built and deployed AI systems within big tech and global pharmaceutical organizations, giving me a practitioner’s perspective on the gap between a compelling vendor demonstration and reliable performance at enterprise scale. A frequent speaker at industry conferences and board and executive sessions, I advise organizations across a breadth of industries.