My dissertation defines a convex hull generalization called the

*tight hull*, whose boundary separates two disjoint sets while behaving like a maximally convex membrane-in-tension. I then use the tight hull to define a

*tight blend*that performs a piecewise continuous simplification of the normal field of an input set. My work is available from my Thesis page.

My past projects include

*Mason*, which eliminates an asymmetry between morphological opening and closing, and

*Pressing*, which takes a binary volume as an input and outputs an isosurface that combines smooth patches, flat patches, and sharp edges. Further details are available on my Projects page.

Before coming to Georgia Tech, I received an Sc.B. in Mathematics and Computer Science, with Honors, from Brown University. While completing my undergraduate degree, I also worked as a Mathematical Modeler in the Division of Neuropsychiatry at the Walter Reed Army Institute of Research. For more information on my background, see my Vita page.