Marine data science portfolio focused on harmful algal bloom (HAB) forecasting, computer vision, and oceanographic analysis.
An LSTM sequential neural network pipeline predicting shellfish toxicity and red tide outbreaks in the Philippines using multi-decade monitoring bulletins paired with Google Earth Engine oceanographic data.
An instance-segmentation pipeline using YOLOv8 to classify sinking marine particles in the Oceanic Flux Program archive, turning microscope images into reproducible measurements of particle abundance and composition.
View animated ocean current trajectories, Google Earth Engine environmental rasters, and spatial maps.