Research and Teaching Overview
Research Overview
- I develop computational models to help understand the mechanisms of
human cognition. I have worked in the areas of visual perception,
selective attention, awareness, memory, learning, executive control,
and neuropsychological disorders.
- Using these models, we build software that helps
individuals to learn and remember better. One current project is the Colorado Optimized Language Tutor,
which helps students learn facts (e.g., foreign language vocabulary) by
scheduling study to promote long-term retention.
- I use artificial
intelligence and machine learning methods to
make computer systems smarter. Projects include the adaptive
house, a
control system that learns to manage energy resources (air heat, water
heat, lighting, and ventilation) in an actual residence to maximize the
satisfaction of the inhabitants and minimize energy consumption.
- I consult for companies that
do data mining (Cognilytics, AnswerOn, JD
Power and Associates Web
Intelligence) and pattern
recognition (Sensory, Inc.)
Teaching Overview
- Computational models of
human cognition
- Cognitive science and
cognitive neuroscience
- Applied machine learning
