Note to prospective graduate students: I will be recruiting for my lab in Fall 2018. Depending on the specific interests, students can apply through PhD programs in Haas School of Business, Helen Wills Neuroscience Institute, or Department of Psychology. Those who are interested should contact me with their current cv and a short description of research interests.



We are all consumers in one way or another. This involves making choices, ranging from weighty ones such as purchasing a home to routine ones such as grocery shopping. An understanding of the biological basis of consumer choice is important not only scientifically, but also clinically due to disruptions of decision-making processes in neuropsychiatric disorders. In our lab, we study these questions by combining ideas and tools from neuroscience, economics, psychology, and marketing.
Stacks Image 335


We study social decision-making through the lens of game theory, which captures an important class of competitive and cooperative social behavior. Social behavior is often disrupted in disorders such as schizophrenia and frontotemporal dementia. The goals of our research involves characterizing the underlying neural systems as well as molecular and genetic mechanisms.
Stacks Image 337



A primary goal of our lab is to understand the neural mechanisms underlying choice behavior. We use functional MRI to characterize the neural correlates of putative computational variables driving behavior, as well as testing causal mechanisms using focal lesion studies.

This work is conducted in collaboration with the Knight Lab at University of California, Berkeley.


Genes exert their effects on behavior through their effects on the brain. By identifying how genomic variation modifies circuits of neurons and the molecular pathways, we are seeking a better understanding of the neurogenetics of choice behavior.

This work is conducted in collaboration with the B2ESS Lab at the National University of Singapore, and the Kayser Lab at University of California, San Francisco.


The common underpinning of our empirical approach is a set of computational models developed out of behavioral economics and computational neuroscience. By providing a mechanistic account of choice behavior, these models provide for rigorous, quantitative predictions that can be tested across behavioral, neural, and genetic levels.


Stacks Image 409
Stacks Image 414
Stacks Image 417