Dr. Sarah Feldt Muldoon joined the University at Buffalo in 2015 as an Assistant Professor in the Mathematics Department, core faculty in the Computational and Data-Enabled Sciences and Engineering Program, and member of the Neuroscience Program. Dr. Muldoon received a B.S. in mathematics and physics at the University of Kansas in 2004 before performing graduate studies at the University at Michigan where she received an M.S in physics, graduate certificate in complex systems, and finally a Ph.D. in physics in 2009. Her research interests lie at the intersection of experiment and theory with a focus on applications of network theory to neuroscience data. She has spent extensive time working in experimental neurobiology labs and now runs a research group that couples theoretical advancement, computational modeling, and data-intensive analysis to study the relationship between structure and function in brain networks.