After nearly a decade of studying human learning, information processing, and memory, I'm excited to transition to data science, where I can leverage my knowledge about computational cognition to design algorithms that learn and find insights in data--the way humans do!

Most recently I was a postdoctoral fellow in the Cognitive Computing Lab at Indiana University, Bloomington. [CCL] [IU]. I graduated from the University of California, Merced, in 2015 with a PhD in Cognitive and Information Sciences. [CogSci] [UCM].

Research Summary: My research investigates the flow of information through networks of various sizes: from neurons to groups of people. How do network structures and dynamics constrain the type and amount of information that can be shared? To address this question, I use techniques ranging from computational modeling to empirical studies of social interaction during memory and problem-solving tasks.