I am broadly interested in understanding the representations used by both biological and artificial agents to perform cognitive tasks. Most of my research time, I build phenomenological models to identify the hidden variables in behaviors, and build optimization-based neural network models to find normative neural solutions for cognitive functions.
 
Research Interests: 

• How feedforward and recurrent connections contribute to encoding prior information in working memory.
• Exploration strategies across species.
• Trade-offs between complexity and effectiveness in the formation of task representations by biological agents.
• How to perform path integration without the use of a metric representation.
• To what extent does language contribute to intelligence?

Updated: 02/1/23