About
6
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Introduction
My research interests include the behavior, ecology and conservation of cetaceans. I’m passionate about the use of novel technologies such as unmanned aerial systems and CATS tags to address questions in marine mammal science. Currently, my focus is assessing the abundance (via photo-identification, CRC modeling) and demographics (via UAS photogrammetry) of spinner dolphins near Oʻahu’s Waiʻanae coast in order to better understand threats to the population and inform conservation measures.
Current institution
Additional affiliations
August 2020 - present
May 2017 - present
Wild Dolphin Project
Position
- Field Assistant
Education
August 2020 - May 2023
August 2015 - May 2019
Publications
Publications (6)
![Estimated seasonal abundance (N^total\documentclass[12pt]{minimal}...](publication/381737062/figure/fig3/AS:11431281255920166@1719460622717/Estimated-seasonal-abundance-Ntotaldocumentclass12ptminimal-usepackageamsmath_Q320.jpg)
Spinner dolphins (Stenella longirostris subsp.) occupy the nearshore waters of several Hawaiian Islands. Due to their constrained behavioral pattern and genetic isolation, they are vulnerable to anthropogenic threats. Their occurrence and behavior are well-described, yet a lack of data on their abundance and survival rates hinders optimal conservat...
Several legal acts mandate that management agencies regularly assess biological populations. For species with distinct markings, these assessments can be conducted noninvasively via capture‐recapture and photographic identification (photo‐ID), which involves processing considerable quantities of photographic data. To ease this burden, agencies incr...
The occurrence and behavior of spinner dolphins (Stenella longirostris subsp.) off Waiʻanae, Oʻahu are well-described, yet a data deficit on their abundance and trajectory hinders effective conservation. This study employed multi-state open robust design (MSORD) modelling to estimate seasonal dolphin abundance, apparent survival, and temporary emig...
Researchers can investigate many aspects of animal ecology through noninvasive photo–identification. Photo–identification is becoming more efficient as matching individuals between photos is increasingly automated. However, the convolutional neural network models that have facilitated this change need many training images to generalize well. As a r...
