My primary research is devoted to categorization. In a typical
experiment in my laboratory, adult human observers view many visual
patterns, one at a time, on a computer screen. Their goal is to
correctly classify the patterns based on experience and feedback they
get from the computer. Using variations of this typical experiment, I
study observers' learning patterns, limits in performance, biases, and
generalization behaviors. I also develop computer models that
explain, predict, and simulate human categorization responses.