Hello!

I'm currently a 5th year PhD candidate studying chemical ecology in the EECB program at the University of Nevada Reno. I recieved my BS in entomology from Cornell university in 2019, where I worked in labs broadly studying non-consumptive effects of predators, induced plant defenses, and how chemcial signaling mediates pollinator and social insect behavior.

My research broadly focuses on how specialized chemistry mediates interactions between insects and plants, from the level of the individual, to communities, to global patterns of chemical and biological diversity. I aim to combine field and laboratory approaches with state of the art analytical and statistical tools to elucidate subtle processes.

My current research interests include

• Latitudinal gradients in species interactions and functional diveristy
• The role of plant physical and chemical traits in mediating herbivore and pollinator interactions
• Intra and interspecific variation in nectar chemistry and the adaptive role of nectar toxins
• Global patterns of semiochemical richness
• The application of machine learning and computer vision for rapid surveys of biodiversity.

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In 2022 I became involved in the XPRIZE Rainforest competition to develop methods of rapidly surveying tropical biodviersity. I am the computer vision and data pipeline lead for Team Waponi. Our goal is to use multi-modal data collection and state-of-the-art analytic tools to identify taxa, with a special focus on insect communities, to provide critical insights for rainforest conservation.

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I frequently build tools to assist in processing the complicated data associated with chemistry, insect behavior, and global biodiveristy repositories. Open source tools I've built incude:

• Computer vision models for localizing and identifying insects in field videos
• Annotators for rapidly associating image data with taxonomic and ecological information

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