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Axiom Data Science

• Detect and Classify Grouper Sounds: Detect and classify fish sounds from passive acoustic recordings using CNNs.
• Bering Sea Drift and Spill Vessel: Estimate oil spill risk to Alaskan shores from gounded vessels.
• S2S - Sea Ice Guidance: Provide statistically generated probabilistic sea ice guidance for the three-week to seasonal time scale.
• Coral Spawning Detector: Develop CNN based detector to identify spawning coral in aquaria.
• Arctic Oil Spill Risk Assessment: Provide estimates of risk to areas used for subsistance gathering from small “operational” oil spills.
• IFCB: Develop classifiers and data pipelines for IFCB instrumentation to classify and derived statistics about observed harmful algal bloom species of interest.

NSF Center for Coastal Margin Observation and Prediction

• Developed, optimized, and applied a distributed, parallel numerical model validated by in-situ observations to study coastal and estuarine physics, aquatic light environments, and sediment dynamics as part of my PhD work.