Savannah Schilling

Savannah Schilling is a master’s student working in the Quantitative Marine Ecology Lab at the University of New Hampshire. Her research focuses on understanding how anthropogenic and natural environmental factors shape aquatic ecosystems, as well as how human industries can better coexist with the natural world. She is particularly interested in collective behavior and the spatiotemporal dynamics of ecosystems, with an emphasis on applying quantitative approaches to improve ecosystem monitoring and management. Her current work uses biosensors to measure collective gaping patterns in Eastern oysters in Great Bay.

Savannah earned her BS in Electrical Engineering from the University of Colorado, where she also conducted research on nestmate recognition in ants, biocontrol of invasive spotted knapweed in the Boulder Valley, and mechanisms of language learning in children using behavioral studies and predictive neural network models. She is passionate about combining quantitative analysis, computational modeling, and empirical data to investigate natural phenomena. Before transitioning to ecology, Savannah spent over a decade in the software industry, most recently working as a software engineer at Google, where she supported clean energy grid optimization, and as a consultant at Brocade Studio, developing operational models for community tree-planting organizations. She now brings this technical and interdisciplinary background to the study of ecological processes.

October 2026