My research is in computational vision, in particular how to combine bottom-up processing, such as image segmentation with top-down information, such as recognition of familiar shapes. I'm interested in how measuring the predictive power of different visual cues can provide general information-theoretic constraints on human visual processing. I also work on developing tools for biological image analysis in order to measure morphology and spatial patterns of gene expression in developing animals.



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teaching:


ics 162 : modeling and world building [f12]
cs 116 : computational photography and vision [w10,w11,w13]
cs 117 : project in computer vision [w09]
cs 216 : image understanding [f08,f10,f11,f12]
cs 217 : light and geometry in vision [w12,s10]
cs 295 : research topics in vision [s09,w10,w11]
cs 177 : applications of probability in computer science [s08]


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My research is currently supported by: previously: