The human problem
comes first.

Build a company around understanding.

I founded Bast to build explainable AI for healthcare and other regulated institutions. I lead engineers and domain experts, connect their work through shared standards, and own client outcomes from scoping through production.

We build the knowledge layer underneath AI so answers can be traced to evidence and uncertainty is visible. Our work helps people understand care and access expertise in difficult environments.

Over four years, I built the business, its teams, and its partnerships, securing $1.5M in revenue and $750K in investment. I also led the transition to agentic delivery, with human review of every change.

Grow the business. Grow the people.

At IBM, I owned the Content Intelligence and AI at Scale businesses, led their teams, and carried responsibility for their P&Ls. I established the Trustworthy AI Center of Excellence and recruited its leadership.

As Chief Data Officer for IBM’s services division, I led workforce transformation and large-scale endpoint remediation through enterprise disruption. The work helped people move into new roles while addressing urgent security and data-protection needs.

I created the data-science profession and secured its accreditation through The Open Group, building the skills and professional standards needed to deliver AI at global scale.

IBM Distinguished Engineer, appointed 2016.

Steward institutions that matter.

My board work carries the same commitment as my work in technology: help institutions serve people better, and keep the human purpose visible as they change.

• Denver Museum of Nature & ScienceBoard of Trustees
• Maryville UniversityBoard of Trustees
• Northwestern University · CASMIAdvisory Board, Center for Advancing Safety of Machine Intelligence

Make the difficult questions discussable.

I have testified before the Colorado Senate Judiciary Committee on AI consumer protection and joined public conversations about how we govern technology. I write and speak about human judgment, explainability, and the responsibilities of the people building and using AI.

Developing people is part of this work: from the data-science profession to sponsorship, mentoring, and helping others see what they are capable of doing.