Commercial
Client engagements spanning metocean design criteria, forecast system delivery, and model calibration — see each entry for the specific problem and result.
Metocean Design Criteria
Delivered defensible design-basis metocean criteria for an offshore structure in the Gulf of Mexico, used directly in engineering design.
Delivered a design-basis report with multi-return-period criteria that the client incorporated directly into structural design and permitting.
Cloud-based Ocean Forecast System
Migrated an on-premises ocean forecast workflow to a cloud-native pipeline for a commercial client, cutting compute cost and turnaround time for daily forecast delivery.
The forecast cycle now runs unattended, with meaningfully lower compute cost and faster turnaround than the on-prem setup, and automated failure alerts replacing manual monitoring.
Pipeline Assessment
Assessed metocean and seabed hazard conditions along a client’s subsea pipeline corridor to support routing and integrity decisions.
Delivered a route assessment identifying segments of elevated risk, informing re-routing and protection recommendations that the client incorporated into the final design.
Data QA/QC
Built an automated QA/QC pipeline for a client’s real-time sensor data feeds, catching bad readings before they reached downstream users.
Meaningfully cut bad-data incidents and manual review time, giving the client confidence in the feed without manual spot-checking.
Model Validation and Calibration with ML
Applied machine learning to systematically identify model-observation biases, speeding up the calibration cycle for a regional ocean model.
Meaningfully shortened the calibration cycle and improved skill scores across validation stations.