Open-Source Computer Vision Framework
Democratizing AI by developing accessible computer vision tools for non-expert users.
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1 min read
Democratizing AI by developing accessible computer vision tools for non-expert users.
Developing solar-powered edge computing and ecological monitoring systems for climate-resilient environmental research. Currently in prototyping phase.
Developing computer vision and machine learning approaches for non-invasive sex determination in sturgeon aquaculture. Active USDA NIFA grant (~$465K).
Co-first author discovery of novel miRNA-like structures in maize genes correlating with small RNA production and epigenetic regulation (Genome Research 2023).
Research on avocado domestication and the genetic basis of heterodichogamy - the unique daily sex alternation in avocado flowers. First-author publication in G3 (2023).
Developing AI-driven computer vision systems for high-throughput phenotyping of avocado and other perennial crops. USDA NIFA subaward (~$86K).
Co-first author methodology reducing genome assembly costs by 90% while maintaining quality. Published in G3.