Sarah F. Muldoon

Sarah F. Muldoon is an Associate Professor in the Department of Mathematics at the University at Buffalo, SUNY. Her research focuses on network neuroscience and complex systems, integrating tools from mathematics, physics, and computational biology.

• Education: PhD in Physics, University of Michigan (2009)

Her research explores network organization in brain function, particularly in health and pathological conditions like epilepsy. Key areas include:

• Development of novel network statistics (e.g., small-world propensity, multilayer analysis)
• Computational modeling of brain dynamics and state transitions
• Experimental data analysis across neuronal networks, ECoG, and fMRI
• Software tools for seizure detection and community structure quantification

She leads a multidisciplinary group affiliated with the Computational and Data-Enabled Sciences (CDES) Program and Neuroscience Program at UB. Her work bridges theoretical and applied network science, with recent publications examining brain states, pandemic modeling, and personalized network diagnostics.