Lindsay Veazey

• Artificial intelligence
• Computer vision
• Predictive modeling
• Quantitative ecology

I went for my first hike at 8 months old. My enjoyment of and curiosity about the natural world draws me to ask questions about why we observe certain patterns in animal behavior. I matured into a full-fledged scientist at an advantageous moment in history: the dawning era of data science. Data visualization methods, clustering algorithms, and machine learning are some of the tools that I’ve used to explore questions around heatwave health risks associated with urban geography, deep sea coral distribution around the Hawaiian Islands, and how a menacingly competitive invasive algae is threatening coral reefs around Honolulu.

I’m currently working with Dr. Tuula Hollmen and collaborators to apply a computer vision framework to process several years of camera trap footage taken around common eider nesting areas along the Beaufort Sea. With the advancements of data science, we are using these tools to efficiently derive insights about incubation constancy, nest failures, and disturbance events. Our work supports furthering our understanding of common eider biology and contributes to the growing compendium of modern methods employed to study the effects of climate change on Arctic ecology.