Dr. Angela Peace
Angela Peace
Dr. Angela Peace's research takes a quantitative approach to understanding ecological complexity, with a primary focus on Mathematical Biology and Ecological Dynamics. Her lab’s work centers on building mechanistically derived mathematical models, using differential equations, dynamic systems, and bifurcation theory, to predict how ecosystems respond to non-linear environmental change.
Her research analyzes multi-stressor dynamics under concurrent environmental drivers like chemical pollutants, elemental limitations, and emerging pathogens; leverages ecological stoichiometry to link organism-level physiological processes with ecosystem-scale nutrient flows and food web stability; and fosters an iterative cycle of modeling and experimental design where dynamic models inform targeted experiments that feed back into theoretical development. Ultimately, the lab strives to develop predictive mathematical frameworks that advance basic ecological theory and uncover fundamental mechanisms governing population dynamics, environmental health, and disease transmission.
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