Our Team

Bob Currier has spent four decades in the ocean — first with his hands on the equipment, now with AI in the loop. He started as science engineer aboard the R/V Cape Hatteras at Duke University's Marine Laboratory and the R/V Robert D. Conrad at Lamont-Doherty, work that still shapes how he builds: systems that have to function at sea, in real conditions, where there is no second chance to take the measurement.

Today he develops production AI for ocean observing. As a data scientist and engineer in the Texas A&M University Department of Oceanography, he builds the intelligence layer for the Gulf of America Coastal Ocean Observing System — fleet tracking and operations for autonomous gliders, conversational interfaces to oceanographic data, anomaly detection, and passive-acoustic classification of marine mammals. Through OCEANCODA, he brings the same capability to commercial maritime: practical, non-disruptive AI that sits alongside existing operations and earns its place by improving the work, not replacing it.

He holds two US patents in machine-learning environmental sensing, has contributed 150+ glider datasets to the IOOS national archive, and has published across peer-reviewed and conference venues. Recent talks include presentations to NOAA, the Canadian Integrated Ocean Observing System, UNESCO's Ocean Decade program, the data keynote at Australia's IMOS 20th Anniversary conference and the closing plenary at the UG2 workshop in St. Petersburg, FL.