Resume
Background
- Investigates the neural and computational mechanisms underlying how goals, beliefs, and emotions influence human cognition
- Central research question: why people interpret and respond to identical situations in markedly different ways
- Explores multiple levels of cognitive processing: perception and attention, memory and decision-making, affective and social reasoning
- Uses convergent methods: functional brain imaging (e.g., fMRI, fNIRS), behavioral experiments, naturalistic task paradigms, computational cognitive models, natural language processing, and machine learning
- Ultimate goal: identify behavioral and neural targets for interventions to improve socio-cognitive functioning
- Affiliated with the Department of Psychology, Institute of Mind and Biology, Neuroscience Institute, and Data Science Institute at the University of Chicago