25 years in radiation oncology. The last 10 building the AI infrastructure the field didn't have yet.
Medical Dosimetrist to enterprise AI leader: not a career pivot, a straight line. Every product decision, every patent, every framework I've built is grounded in what I watched clinicians struggle with in practice.
What I Do
I lead AI strategy and execution at Siemens Healthineers Digital Oncology, building and deploying AI capabilities into radiation oncology systems at global scale across thousands of sites.
Three 0-to-1 products shipped. Five patents filed. A global consortium founded. Active enterprise partnerships with frontier AI and cloud platforms.
This is not a research function. It is a build function. Full ownership across strategy, design, execution, and P&L, from first principles to revenue.
Current Focus
Deploying a portfolio of AI capabilities across clinical oncology workflows: ambient documentation, intelligent scheduling, clinical decision support, agentic workflow automation, and cohort generation. Built for production, not pilots.
The approach is agentic by design: AI that operates within clinical systems, takes workflow actions, surfaces relevant information, and escalates to clinicians at the right moment. Human-in-the-loop is not a feature. It is the architecture.
Frameworks driving every build: model selection, evidence verification, data quality gates, oncology knowledge infusion, and monitoring and change control.
Career
Medical Dosimetrist treating patients. First IMRT program in the state. Joined Varian as a Clinical Applications Specialist, training radiation oncology teams nationally on treatment planning, physics commissioning, and system go-lives. Founding member of the Clinical Consulting practice.
Built the Data & Analytics function from zero: consulting, marketing, product management, and engineering. Launched the first out-of-the-box analytics package for radiation oncology. Scaled globally across three regions, eight languages, 4,850+ sites. Double-digit CAGR over five years. Full transition from perpetual licensing to SaaS and on-prem to cloud.
Director of Data & Analytics, then Director of AI & Innovation. Two consecutive 0-to-1 builds. Built the cloud-native analytics platform, then the AI & Innovation practice. Five patents filed. Global Oncology AI Consortium founded. Enterprise AI partnerships active at the frontier.
How I Work
AI governance is not a checkbox. It is the foundation.
Every capability I build is designed around human-in-the-loop architecture, regulatory awareness, and data quality as a prerequisite, not an afterthought. I work across cloud and on-prem hybrid infrastructure because that is the reality of clinical environments, not the exception.
Credentials
- MIT — Applied AI / AI in Healthcare
- Harvard Business School — Organizational Leadership
- Stanford University — Medical Informatics
- UC Berkeley — Product Strategy
- MBA · MS Healthcare Administration