Shark Detector, sharkPulse tooling, eDNA and spatial-modeling code from my PhD and independent research.
- Shark-Detector Shark classification model
- jj-website This is Jeremy's professional website repository
- kayak-pi A fish finder for any kayak
Marine Data ScientistML / AI EngineerConservationist
Jeremy F. Jenrette, PhD
I build computer vision, eDNA, and statistical tools that count and track marine life without ever touching it.
Background: drone survey frame with automated shark tracks, Beneath The Waves
- Publications
- 13
- First-author
- 5
- Now
- NOAA NEFSC
Woods Hole - Fieldwork
- Mediterranean · NW Atlantic
Japan · Bahamas
About
Non-invasive monitoring, built like production software.
I'm a data scientist and machine-learning engineer at NOAA's Northeast Fisheries Science Center in Woods Hole, where I turn millions of seafloor images into abundance estimates for stock assessments. My work sits where field ecology meets production software: detection and tracking models for sharks, scallops and deep-sea fauna; eDNA assays that find endangered white sharks from a liter of seawater; and the cloud pipelines that make all of it run at survey scale.
Selected work
From the seafloor to the open Mediterranean.
HabCam imagery: NOAA NEFSC Automated optical surveys for stock assessment
object detection · bias correction · GCP
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Photo: Beneath The Waves The Shark Detector
image classification · video AI · R / Flask API
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Finding Mediterranean white sharks with eDNA
eDNA · particle tracking · citizen science
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Photo: Beneath The Waves Giant deep-sea isopods
genomics · deep-sea video · open biodiversity data
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Photo: sharkPulse record archive sharkPulse
NLP · data engineering · Shiny
Read moreSelected publications
Recent papers
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Accelerating shark video surveys with AI and automated workflows
Ecological Informatics
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Automatically counting and measuring Atlantic sea scallops (Placopecten magellanicus) from underwater imagery with object detection and bias-correction
Ecological Informatics
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Addressing distributional and taxonomic uncertainty in the deep-sea giant isopod genus Bathynomus with an integrated observational and molecular framework
Deep Sea Research Part I: Oceanographic Research Papers
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From data deficient to big data in shark conservation
Fish and Fisheries
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Shark detection and classification with machine learning
Ecological Informatics
Open source
Two GitHub accounts, one body of work.
Computer vision and cloud pipelines for HabCam optical surveys and stock-assessment science.
- PEMAD-ESB-Inference This repository acts as a Python package CLI for triggering Airflow DAGs on the Google Cloud Platform
- PEMAD-ESB-Plankton This is the NEFSC CPICS plankton classification repository
- PEMAD-ESB-ScalPred Technical development for estimating bias of automatic sea-scallop counting models.
In the news
Press & features
- Virginia Tech News · 2025 AI and citizen science combine to help save sharks
- Virginia Tech News · 2025 eDNA testing for sharks in the Mediterranean Sea yields fin-tastic results
- Forbes · 2024 Young mako shark travels 750 miles, offering hope for conservation efforts
- Forbes · 2023 Uncovering Mediterranean white sharks using environmental DNA
- The SeaKeepers Society Tracking white sharks with environmental DNA
- Riff Reporter Great white sharks in the Mediterranean: from supposed monster to icon of species protection
- Robb Report How this 87-foot sailing yacht is helping to protect endangered white sharks
Contact