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Linda Moya received her PhD in Psychology/Cognitive Neuroscience and her Master's in Philosophy of Public Policy Management from Carnegie Mellon University in 2011. She also holds a Master's of Science in Industrial Engineering from Stanford University and a Bachelor's of Science in Electrical Engineering and Computer Science from Princeton University. Prior to pursuing her PhD, Linda spent 17 years in the computer telecommunications industries, holding engineering and middle executive management positions at Hewlett-Packard and AT&T. Additionally, she co-founded a wireless startup that was sold to Nokia in 2003. Her primary pedagogical research interests are in neuroscience and decision-making, focusing on the social and emotional aspects of how the brain affects the decision-making process. Methodologically, she has conducted behavioral experiments with human participants utilizing psychophysiology and neuroimaging methods including MEG, EEG, and structural MRI. Her scientific work has tested a priori hypotheses based on theories developed from existing literature across various neuroscience sub-disciplines, including systems, behavioral, decision, and cognitive neuroscience. Linda employs sophisticated statistical learning techniques to uncover robust patterns in data, particularly in unexpected results.
Carnegie Mellon University • Pittsburgh, PA
Faculty member in the Department of Social Decision Sciences and affiliated with the Center for Neural Basis of Cognition.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.