

Quantitative Ecologist
Remote Sensing | Biodiversity | Landscape Ecology
I’m Alyson East, a PhD candidate in Quantitative Ecology at the University of Maine. My work bridges ecology, data science, and remote sensing to understand how ecosystems respond to change across scales. I study patterns in forest structure, biodiversity, and disturbance history, asking how these layers interact to shape ecological stability and resilience.
At the heart of my research is a fascination with complexity: the way traits vary within and across species, the structural legacies left by land use and disturbance, and the spatial patterns that emerge from environmental patterns. I bring together ecological theory, machine learning, and large-scale datasets, from satellite LiDAR to insect museum specimens, to study these patterns in forests and biodiversity-rich landscapes across the U.S. and beyond.
Selected Highlights
• Coauthor, Nature Record national assessment of U.S. ecosystems
• Paper in Methods in Ecology and Evolution on imaging biodiversity specimens
• ESA Early Career Representative to the Governing Board
• Developing AI pipelines for large-scale biodiversity trait extraction
Updates
2026
April
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Presented a poster and workshopped newly developed AI tools at the first Imageomics Conference 2026 in Columnbus Ohio.
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Presented the NEON Virtual Challenge and awards at the FARR RCN Workshop 2026 In Washington DC
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Work from the National Ecological Observatory Network Virtual Challenge Hackathon was featured in the NEON Observatory Blog.
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Contributed to an accepted paper at the International Conference on Learning Representations on scalable trait annotation using machine learning.
📄 https://arxiv.org/pdf/2604.01619
🌐 https://osu-nlp-group.github.io/sae-trait-annotation/
March
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Featured in The New York Times coverage of the Nature Record, (formerly the U.S. National Nature Assessment) where I served as a coauthor on the chapter Terrestrial Ecosystems of the United States.
January
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ORISE work publised in Conservation Biology: Comprehensive framework for assessing and optimizing existing research networks
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Aly and Sydne Travel to the NEON Biorepository to finish up data collection on the NEON Carabid dataset after 9 months of data collection.
2025
December
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Preliminary results from disseration chaper "Multimodal crown segmentation across spatial resolutions" presented at AGU 2025 New Orleans in session Seeing the Forests and the Trees: Advances in Active Remote Sensing Capabilities Leading to a Better Understanding of Forest Ecosystems and Natural Resource Management
October
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Passed PhD Dissertation Proposal Defense: Scaling Ecological Insights
September
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First dissertation chapter accepted in Methods in Ecology and Evolution, presenting evidence-based protocols for computer-vision imaging of biodiversity specimens.
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HDR Machine Learning challenge launches using subset of Biorepository Images
August
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Funcapalooza workshop -- "Beyond Beetle Bodysize" team presenting final results and next steps for sparce autoencoder identified traits at the Imageomics Funcapalooza workshop in Columbus Ohio
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"Optimizing Image Capture for Computer Vision-Powered Taxonomic Identification and Trait Recognition of Biodiversity Specimens" poster presentation at ESA
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Delivered invited talk at the Ecological Society of America Annual Meeting Career Central: Thriving in Grad School. Also see Kathleen Carroll's resources developed for the original delivery of this session
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Photos from the Early Career Ecologist section Mentorship program at the ESA annual meeting -- organized by Kristen Emmitt and hosted by Aly
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Aly passes the chair seat to Cait Rottler at the Early Career Ecologists Section Mixer at the ESA annual meeting in Baltimore MD
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Accepted three section awards on behalf of the ESA Early Career Ecologists Section -- Section of Merit, Innovative leadership structure, and Innovative Member Engagement
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Represented early-career scientists at the ESA Governing Board meeting in Baltimore MD as Early Career Representative.
June
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Co-organized the Imageomics Funcapalooza workshop, advancing machine-learning approaches for functional trait discovery in biodiversity science.
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Aly joins United By Nature Terrestrial chapter
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"Fine-Grained Taxonomy with Vision Models: A Benchmark on Long-Tailed and Domain-Adaptive Classification" accepted to CV4Animals
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Early‐Career Publishing and Reviewing: Pitfalls and Perspectives published in ESA's Bulletin -- this paper represents a synthesis of survey results of prospectives from ESA early career ecologist section members and a resultant discourse with the Editors in Chief of the ESA journals
May
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Implemented imaging and automated processing workflows at the NEON Biorepository in Tempe, Arizona, training staff and scaling specimen digitization for carabid beetle collections processing pipeline.
April
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Aly and Rayeed present final results from the beetle-intake work at Pu'u Maka'ala field station at Imageomics all hands meeting in Columbus Ohio
January
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AI and Ecology course spends three weeks in Hawaii -- Beetle intake group images the entire collection of Hawaiian beetles pinned at the Pu'u Maka'ala Natural Area Reserve NEON site
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Field day assisting the bioacoustics crew collecting Sim cards from audio recorders from kīpuka forest patches to assess variation in bird vocals by localized community divergence
2024
September
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Aly moves back to the University of Maine Orono to begin her PhD in the Record Lab
Contact
I'm always looking for new and exciting opportunities. Let's connect.
ORCID: 0000-0003-1143-1255
(207) 214-3213