Carnegie Mellon University

Linda Moya

Linda Moya

Assistant Teaching Professor, Electrical and Computer Engineering
Social and Decisional Sciences

Address 5000 Forbes Avenue
Pittsburgh, PA 15213


Linda Moya received her PhD in Psychology/Cognitive Neuroscience, and her Masters of Philosophy in Public Policy and Management from Carnegie Mellon University in 2011. She has a Masters of Science in Industrial Engineering from Stanford University and a Bachelors of Science and Engineering in Electrical Engineering and Computer Science from Princeton University. Prior to pursuing her PhD, Linda spent 17 years in the computer and telecommunications industries in various engineering, middle and executive management positions at Hewlett-Packard and AT&T. Immediately prior to pursuing her PhD Linda co-founded a wireless startup that was sold to Nokia in 2003.


Psychology/Cognitive Neuroscience

M.Phil, 2011
Public Policy and Management
Carnegie Mellon University

Industrial Engineering
Stanford University

Electrical Engineering and Computer Science
Princeton University


Linda's primary pedagogical and research interests are in the neuroscience of decision making, with an focus on how the social and emotional brain affect the decision making process. Methodologically, she conducts behavioral experiments with human participants using psychophysiology and neuroimaging methods: MEG, EEG and structural MRI. Scientifically, she tests a priori hypotheses based on theory developed from extant literature from across neuroscience sub-disciplines: systems, behavioral, decision, and cognitive; while at the same time being open to unexpected and unpredicted but robust patterns of results in the data born of sophisticated statistical learning techniques. 

Linda'a dissertation, "The Microgenesis of Object-based vis-a-vis Space-based Visual Attention", is intended to address in part how these two forms of visual attention are "implemented" in the brain, in terms of characterizing the electromagnetic fields present in scalp surface recordings during visual attention cognitive processing. The dissertation research describes the nature of how these attention processes unfold over time, differentially across the brain, and how their composition change over time and space.


  • Cognitive neuroscience of decision making
  • Neuroimaging