Research in the SLD lab focuses on understanding the neuro-cognitive bases of social learning, using cognitive tasks, functional neuroimaging (fMRI, fNIRS), and computational modelling, with extensions into how variability in these processes may relate to psychiatric symptom dimensions, and how they may scale up to naturalistic social context.
Charpentier, Caroline
Bio
Caroline Charpentier is an Assistant Professor in the Department of Psychology (Cognitive & Neural Systems area), Program in Neuroscience and Cognitive Science, and the Brain and Behavior Institute. She is the Principal Investigator (PI) of the Social Learning and Decisions (SLD) lab. She obtained her PhD in cognitive neuroscience at University College London, UK, with her dissertation focusing on the interaction between emotions and decision-making. She then completed her postdoctoral training at the California Institute of Technology, studying the behavioral, neural, and computational mechanisms of social learning and decision-making. Her research is interdisciplinary, drawing from social neuroscience, behavioral economics and computational psychiatry. Dr Charpentier’s research has received funding from the Wellcome Trust (Sir Henry Wellcome Postdoctoral Fellowship) and is currently supported by a K99/R00 Pathway to Independence award from NIMH (2021-2026), investigating the neuro-computational mechanisms of social learning and variation along psychiatric symptom dimensions and in autism.
Degrees
Cognitive Neuroscience - PhD
Research Topics
Caroline Charpentier
Assistant Professor
| 3147C Biology-Psychology Building
| ccharpen@umd.edu