Dylan Van Bramer

I assist in the design, documentation, and application of analytical developments, supporting a project focused on joint species distribution modeling with eBird data, a collaborative effort between the Cornell Lab of Ornithology and the Institute for Computational Sustainability. My work includes the development, testing, and validation of artificial intelligence technologies to improve model interpretability and inference on avian communities.

I’m taking a semester off of my undergraduate degree at Cornell to work full time here at the Cornell Lab. I am very passionate about participatory science and interpretable machine learning, and so working with eBird data—and all of the incredible other researchers and engineers here—is extremely exciting! I’ll graduate this upcoming spring with a degree in computer science, and being here at the Cornell Lab is helping me build important skills and refine my future research interests in environmental data science and community-driven science.