About
I'm a technology executive by profession and a serious amateur in oceanography by choice. The two have more in common than they seem: both come down to measuring complex physical systems carefully, and being honest about what the measurements can and can't tell you.
I lead the Advanced Technology Group at Switch, one of the world's largest datacenter operators, where I'm responsible for software and distributed-systems R&D and the company's enterprise AI program. That includes physics-accurate digital twins that join thermal simulation with live telemetry from power and cooling systems. Before Switch, I built and led AWS's modernization program for global private equity, co-founded a cloud-transformation consultancy, and ran cloud platforms and engineering at Zillow Group and Auction.com, after earlier roles at Los Alamos National Laboratory, Broadcom and EMC. I also publish open-source tools and applied research on AI agents, including a research platform that ties every claim to its evidence.
On the ocean side, I built and run Bluegraph (bluegraph.io), a free public reference for more than 700 ocean stations from the Bering Sea to Samoa: NOAA buoys and tide gauges, estuary water quality, partner stations and HF radar surface currents. It separates each buoy's measured wave spectrum into distinct wave systems and traces swell back to the storms that made it. It asks one question, why is the ocean doing this here?, and keeps one rule: label what is measured, what is derived, and what is analysis. It does not forecast.
This project grows from that rule. I live in La Jolla, home to Scripps Pier, one of the piers in this study. The California monitoring program measures toxin in the same sample it counts cells in, which makes it possible to test a bloom threshold directly against toxin. I'm doing this as an independent researcher, separate from my employer, and everything it produces will be public.
Joined
October 2026
