Transforming oncology care delivery with responsible AI—integrated into practice, clinically grounded, and built to scale.
I lead enterprise AI strategy for oncology information systems, bringing decision support and automation to the point of care through real-world validation, governance, and measurable impact.I keep the lens broader—applied AI in complex, high-stakes environments—with oncology as the dominant proving ground.
Credibility signals
- Global scale: deployed across 8,000+ sites
- In-product integration: AI available at the point of use in radiation oncology contexts
- Evidence-led: real-world validation with clinicians using real patient data
- Responsible & measurable: policy, monitoring, escalation, human-in-loop, KPIs tied to impact & ROI
How I work
Strategy that ships
Platform strategy translated into roadmaps, operating models, and adoption—built for real constraints.
Validation as capability
Evidence and accountability designed into the product lifecycle, not bolted on later.
Measurable impact
KPIs that reflect burden reduction, consistency, throughput, decision quality, and commercialization readiness.
Featured strategy memos
Short, executive-friendly theses on applied AI in high-stakes enterprise settings.
Integration determines impact
Why AI value is realized where clinicians work—inside existing systems, decisions, and accountability.
Validation is a product capability
Evidence, trust, and accountability need to be designed into the lifecycle—not bolted on at the end.
Validation is a product capability
In high-stakes domains, evidence and accountability are part of the platform—not a side project.
Transformation notes
NDA-safe patterns from integrating, validating, and scaling AI in real systems.
Designing AI for the point of care
Patterns for making AI usable where decisions happen—without adding friction.
AI at the point of use
Patterns that make embedded AI usable, trusted, and adopted in day-to-day clinical practice.
From pilots to platforms
A maturity model for moving AI from isolated wins to durable capability.
Playbooks
Reusable frameworks, checklists, and templates for responsible AI at scale.
Work with me
If you’re building AI in high-stakes, enterprise environments and want it to be responsible, adoptable, and measurable—I can help with platform strategy, validation & governance, and collaboration on standards and evidence-building.