Starting Fall 2013, I will be an Assistant Professor of Cognitive, Linguistic, and Psychological Sciences at Brown University.
I'm Joe Austerweil, a postdoctoral scholar at Stanford University working with Noah Goodman. I recently received my PhD from UC Berkeley. My main advisor was Tom Griffiths in the Computational Cognitive Science lab. I also continue to work with him.
As a computational cognitive psychologist, my research program
explores questions at the intersection of perception and higher-level
cognition. I use recent advances in statistics and computer science to
formulate ideal learner models to see how they solve these problems
and then test the model predictions using traditional behavioral
experimentation. Ideal learner models help us understand the knowledge people use to solve problems because such knowledge must be made explicit for the ideal learner model to successfully produce human behavior. This method yields novel machine learning methods and
leads to the discovery of new psychological principles.
Brown University (2007), Sc. B. in Applied Mathematics-Computer
Science (with honors)
University of California, Berkeley (2011), M.A. in Statistics
University of California, Berkeley (2012), Ph.D. in Psychology
Last Updated February 8th, 2013