With Lee Hood at the AI Cancer Forum I started — where clinicians and scientists began applying these ideas daily.
In 1960, Katherine Johnson replaced Newtonian equations with raw compute to put astronauts in orbit.
AI is the same idea, generalized — a universal approximator that learns from data
what symbolic math can't express.
I've spent thirty years applying that to finance, entertainment, video, science, and medicine.
Background
PhD in AI from MIT. The common thread across everything below is the same:
use computation to approximate what we can’t solve analytically,
then put it in production at scale.
- IBM — Technical Assistant to CEO; early web infrastructure
- Photobucket — scaled photo platform to 1B+ images
- PwC — Chief Technology Advisor
- Google — founded Applied AI; Cloud CTO office (8 yrs): NASA, multiomics, video
- Lustgarten Foundation — board, pancreatic cancer research
- Stanford Medicine — tumor board advisor
AI Money Moves
A daily case study of an AI deployment that moved a number — revenue, cost, or capability.
One per day, sourced from earnings calls, filings, and published results.