MHHWMean higher high water
Coastal and hydraulic engineering
MSLMean sea level
Machine learning held to one test: Show where it fails.
MLLWMean lower low water
Tidal datums · the reference frame every coastal measurement starts from
Biography
The engineering came first. The data came after, and that order still shows in how I read a model.
I am an Associate Teaching Professor in the Department of Civil and Environmental Engineering at Seattle University. Before Seattle I worked and studied on four continents, on hydraulics and coastal systems: Shoreline surveys, sediment, groundwater, and the hydraulic structures that connect these processes.
The doctorate in civil engineering and those years of hydraulics came first. The master’s in data analytics came afterward, once it was clear the questions I had were going to need it. Engineers who arrive in that order tend to distrust a good score, and I think they are right to.
Alongside the courses I supervise graduate students, review for journals in coastal and hydraulic engineering and in machine learning, and give an outside read to groups partway into a project, usually before a result has to be defended in front of a reviewer or a client.
Seventeen peer-reviewed papers so far, in Ocean Engineering, Applied Intelligence, Scientific Reports, Continental Shelf Research, Estuaries and Coasts, and others. The full list is on the Research page.
University service
A model is only useful once you know the conditions under which it fails.
Open to
Invited lectures, faculty workshops, joint research, and advisory work on method choice.