I am interested in how the mind learns to process dynamic sensory information to form useful perceptions. My research involves a variety of techniques including behavioral experimentation, computational modeling, and neuroimaging.
Currently I am a Postdoctoral Scholar in Ed Vul's Lab at UCSD. I am working on understanding how we allocate attention to multiple objects dynamically, including when we are likely to make errors.
My Ph.D. was in Psychology and Cognitive Science at UCSD advised by David Huber. My dissertation work concerned how the temporal regularities in the world (how often the world changes and what it is likely to change to) contribute to behavioral and perceptual biases, and how these regularities are learned.