I work on the intersections of computer science and psychology. These include developing computer technologies intended to augment human information processing, and creating a computational model of how people learn to be fluent readers. The model is implemented as a backpropagation neural network that learns to encode text images spanning about 14 letters, a skill also mastered by fluent readers of English. I'm currently analyzing the visual coding the nets develop as they learn to read.
Most of my research was carried out at the MCC computer consortium in Austin,until it shut down in 2000. Before coming to MCC, I did human factors research at Kodak. After MCC I was employed by Motorola to "harden" MCC's InfoSleuth technology to make it product ready, and also learned about the Software Production Process. Since then, I've taken a couple of years off to work on my own research, spend more time with my family, and think about what to do next. |
