My research is in computational vision, in particular how to integrate mechanisms for visual recognition and perceptual organization. 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 and shape analysis in order to measure morphology and spatial patterns of gene expression in developing animals.

recent research highlights:


Big Data Image Processing and Analysis.
Monday, October 31 – November 4, 2016.
Center for Complex Biological Systems,
University of California, Irvine.

cs 117 : project in computer vision [w09,f13,s15]
ics 162 : modeling and world building [f12,s14,f15]
cs 116 : computational photography and vision [w10,w11,w13,w14,w16]
cs 216 : image understanding [f08,f10,f11,f12,s14,w16]
cs 217 : light and geometry in vision [s10,w12,s15]
cs 295 : research topics in vision [s09,w10,w11]
cs 177 : applications of probability in computer science [s08]


past advisees and collaborators



My research is currently supported by: previously:

service and meetings organized: