Informing Great Lakes Observing System Design with Convolutional Gaussian Neural Processes
Talk, 8th NOAA AI Hybrid Workshop, Virtual
Using uncertainty-aware machine learning to evaluate environmental observing strategies in the Great Lakes
Talk, 8th NOAA AI Hybrid Workshop, Virtual
Using uncertainty-aware machine learning to evaluate environmental observing strategies in the Great Lakes
Seminar, University of Washington Oceanography Seminar, Seattle, WA
Seminar presented at the University of Washington on 15 October 2025 and at NOAA Pacific Marine Environmental Laboratory (PMEL) on 16 October 2025.
Talk, American Geophysical Union (AGU) Fall Meeting, Washington, D.C.
Leveraging machine learning to categorize extratropical cyclones and enhance water level forecasting in the Great Lakes region
Talk, University of Washington School of Oceanography, Seattle, Washington
Why oceanographers should care about the Great Lakes
Talk, AGU Fall Meeting, San Francisco, CA
Exploring how to create safer seagoing work environments for transgender and gender diverse scientists.
Talk, AGU Fall Meeting 2022, Chicago, Illinois
Balancing interpretability and accuracy in ocean data analysis through unsupervised profile classification methods like Gaussian Mixture Modeling
Talk, AGU Ocean Sciences 2022, Virtual
Uncovering spatially coherent thermohaline regimes in the Weddell Gyre using unsupervised classification to reveal new ocean circulation pathways
Talk, Laws Prize Lecture, British Antarctic Survey, Cambridge, UK
A look at trends in the physical ocean as well as trends in the global community of ocean scientists