Linda H. 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
Email: lhmoya@cmu.edu
Mini-Bio
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)
Teaching
88120 Reason, Passion and Cognition: S25, S24, F23, S23, S22, S21, F20, S20
94800 Negotiation: S25, F24, S24, F23, S23, F22, S22, F21, S21, F20, F19, F18, F17, S16
88-234, 94-831 Negotiation: International Focus: S25, 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: 2024, 2021, 2020, 2019, 2018, 2017
Research
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.
Personal
Email: lhmoya@gmail.com
Last Updated: August, 2024
