Strategy
I focus on closing practical gaps in oncology information systems by embedding AI capabilities inside the system clinicians already use. The goal is simple: ship safely, earn trust, and deliver measurable impact.
My job is to turn these principles into shipped capability in the OIS, then measure adoption and outcomes in the real world.
How I drive oncology transformation
Five parts of the job. Click a card to expand.
What we use in practice (highlights)
A small set of frameworks that keeps teams aligned. Click a card for the one-liner.
These are just the highlights, intentionally partial. Building AI into medical devices is never only about models. It includes governance, regulatory expectations, and decade-old hybrid infrastructure across cloud and on-prem.
If you are building in the same boat, or you just want to compare notes, I am happy to share specifics and learn from each other.
Note: this is intentionally NDA-safe. I share patterns, not proprietary details.