Linda H. Moya

Linda Moya
Distinguished Service Professor, Social and Decision Sciences (SDS) and Heinz College
Affiliated Faculty, Center for the Neural Basis of Cognition (CNBC) | Neuroscience Institute
Carnegie-Mellon University
5000 Forbes Avenue
Pittsburgh, PA 15217



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. First Career Resume (pdf)


88120 Reason, Passion and Cognition: S24, F23, S23, S22, S21, F20, S20
94800 Negotiation: S24, F23, S23, F22, S22, F21, S21, F20, F19, F18, F17, S16
88-234, 94-831 Negotiation: International Focus: S24
88454 Decision Science Capstone: F22
88342 The Neuroscience of Decision Making: S19, S17, S15, F15
88372 Social and Emotional Brain: S20, S18, S16
18690-42630 Introduction to Neuroscience for Engineers: S20, S19, S18, S17, S16, S15
18202 Mathematical Foundations of Electrical Engineering: F19, F18, F17

Program Director, Summer undergraduate Program in Computational Neuroscience: 2021, 2020, 2019, 2018, 2017


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 has conducted behavioral experiments with human participants using psychophysiology and neuroimaging methods: MEG, EEG and structural MRI. Scientifically, she has tested 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.


Last Updated: February, 2024