Dean Mobbs
Director, Caltech Brain Imaging Center
Dean Mobbs is interested in the intersection of behavioral ecology, economics, emotion, and social psychology. By understanding the neural, computational and behavioral dynamics of human social and emotional experiences, he wants to develop theoretical models that merge those fields.
Using brain-imaging, computational modeling and behavioral techniques, his lab is probing the neurobiological systems responsible for fear and anxiety, revealing how people learn to control their fears, and how anxiety and psychiatric disorders disrupt those processes. He's interested in the value of social behavior. In particular, he's trying to determine the behavioral and neural signatures behind positive social interactions—for example, those involved with altruism, empathy, and when viewing others' success as rewarding (vicarious reward and reflected glory). His research also focuses on the interplay between social interaction and emotion—how fear can depend on whether you're alone or in a group (e.g. risk dilution).
Prior to Caltech, Mobbs was an assistant professor of psychology at Columbia University and a research assistant at Stanford University. His awards include the APS Janet Spence Award For Transformative Early Career Contributions (2015) and the NARSAD Young Investigator Award (2015). He is a life fellow of Clare Hall at the University of Cambridge.
Publications
- Qi, Song;Cross, Logan et al. (2024) The Role of the Medial Prefrontal Cortex in Spatial Margin of Safety CalculationsJournal of Neuroscience
- Pandita, Swati;Garg, Ketika et al. (2024) Three roots of online toxicity: disembodiment, accountability, and disinhibitionTrends in Cognitive Sciences
- Grogans, Shannon E.;Bliss-Moreau, Eliza et al. (2023) The nature and neurobiology of fear and anxiety: State of the science and opportunities for accelerating discoveryNeuroscience and Biobehavioral Reviews
- Reis, Fernando M. C. V.;Mobbs, Dean et al. (2023) Orchestration of innate and conditioned defensive actions by the periaqueductal grayNeuropharmacology
- Wise, Toby;Zbozinek, Tomislav D. et al. (2023) Computationally-defined markers of uncertainty aversion predict emotional responses during a global pandemicEmotion
- Tashjian, Sarah M.;Wise, Toby et al. (2022) Model-based prioritization for acquiring protectionPLOS Computational Biology
- Mobbs, Dean;Tashjian, Sarah M. (2022) Ten simple rules for unbiased teachingPLOS Computational Biology
- Zbozinek, Tomislav D.;Pérez, Omar D. et al. (2022) Ambiguity drives higher-order Pavlovian learningPLOS Computational Biology
- Pang, Luoyao;Li, Huidi et al. (2022) Resting-state functional connectivity of social brain regions predicts motivated dishonestyNeuroImage
- Wu, Haiyan;Fung, Bowen J. et al. (2022) Mentalizing During Social Interaction: The Development and Validation of the Interactive Mentalizing QuestionnaireFrontiers in Psychology