Dr. Ashley Ellenson recently graduated from Oregon State University’s Coastal and Ocean Engineering program with a minor in risk and uncertainty quantification. Her expertise lies in understanding nearshore physical processes and developing data driven models that predict or better observe nearshore coastal phenomena. She has published several journal articles and has served as a peer reviewer for articles that combine machine learning and coastal science content.
Ph.D., Civil Engineering, Oregon State University, Corvallis, Oregon, 2021
M.S., Civil Engineering, Oregon State University, Corvallis, Oregon, 2017
B.S., Earth and Environmental Engineering, Columbia University, New York, New York, 2011
Dr. Ashley Ellenson recently graduated from Oregon State University’s Coastal and Ocean Engineering program with a minor in risk and uncertainty quantification. Her expertise lies in understanding nearshore physical processes and developing data driven models that predict or better observe nearshore coastal phenomena. She has published several journal articles and has served as a peer reviewer for articles that combine machine learning and coastal science content.
Nearshore Evolution Research Using Computer Vision Techniques, Australia and North Carolina As a fellow for the U.S. Army Corps of Engineers, conducted research focused primarily on developing computer vision techniques to recognize nearshore geomorphology in time exposure imagery. Developed a convolutional neural network to recognize beach states at two different locations: Narrabeen, Sydney, Australia; and Duck, North Carolina. Also focused on capturing the alongshore variability of nearshore morphology by developing a labeling framework wherein the morphology was labeled as a multidimensional simplex. Using this observational framework, characterized 30 years of beach states at Duck, North Carolina, and correlated evolving nearshore morphology with environmental forcing factors.
Marine Science
Wave Forecasting Corrections Using Machine Learning, Northeast Pacific Ocean Worked as a National Research Trainee for the National Science Foundation’s Risk and Hazard Training program, and developed uncertainty metrics as a data product for wave forecasts using machine learning ensemble techniques. Collaborated with a social scientist to understand end-user (fishermen) perspectives of uncertainty, ensuring that the uncertainty metric aligned with end-user intuition. The uncertainty metric captured the accuracy of 24-hour forecast output of significant wave height and wave period. The ensemble method was a bagged regression tree and predicted wave model error at several buoy locations across the northeast Pacific Ocean.
Integral’s Resume Builder allows you to select the information you would like to appear on your custom-built resume. You can select or deselect any of the blue-checked boxes:
or green-checked circles:
To begin, all information is selected as default. To include all information on your resume, please skip to Step 3.
Step 1: Select the Relevant Experiences you would like included in your custom-built resume. By checking the green circle, you can indicate which category of all the employee’s work experiences you want to include. To exclude a category of work experiences not to your interest, uncheck the green circle. To include specific work experiences, regardless of category, check the blue box for your desired project.
Step 2: Select the Education & Credentials, Professional Affiliations, Publications, or any additional information you would like to include in your resume by checking the blue boxes next to the titles of those areas.
Step 3: Once you are finished building your custom resume, click the Download PDF button:
An Adobe PDF of your custom resume will be downloaded to your computer or you can choose to save the file to your preferred format.
