Greetings!
I am a data scientist with the NOAA Fisheries Southeast Fisheries Science Center (SEFSC) having joined NOAA in 2021 after more than a decade in academia conducting and supporting oceanographic research. I oversee multidisciplinary teams of marine and computer scientists developing innovative artificial intelligence (AI), machine learning (ML), and deep learning (DL) models for automating assorted SEFSC mission priorities including species identification and tracking, fish aging, and marine mammal detection from aerial drones.
I also facilitate cloud migration, transition planning, and data curation and governance initiatives for the SEFSC and represent NOAA Fisheries in the NOAA Artificial Intelligence Working Group. As a strong proponent of FAIR data principles (findable, accessible, interoperable, reusable) and open science, I serve on the SEFSC regional data governance team and participated in the 2024 NMFS OpenScapes Mentor program.
A longer autobiographical narrative, for the inquisitive mind, can be perused here.
- UNIX*
- Machine Learning
- Quarto
*Indicates working knowledge. Not an expert by any means.
- Ph.D. Meteorology and Physical Oceanography, University of Miami
- M.S. Oceanography, University of Delaware
- B.S. Physical Oceanography with minor in Meteorology, Florida Institute of Technology
Professional
- Ocean-atmosphere interactions
- Ocean observation using advanced technologies
(e.g., autonomous surface and underwater vehicles, aerial dones, high-frequency radar) - Machine learning for prediction and task automation
- Data visualization
- Biogeography
Personal
- Kayaking, sailing, boating
- Biking, hiking (being outdoors, really)
- Reading (mostly nonfiction to keep learning)
- Technological tinkering (task automations, website building, data visualiztion, etc.)