A scientist, inventor and serial entrepreneur, Dr. Lauren Barghout holds a Ph.D. and M.S. in Vision Science from the University of California at Berkeley and a Bachelors degree in Physics from Hampshire College. Lauren founded several companies. She invented a Gestalt-based fuzzy-logic image segmentation and labeling technique used commercially in image/video back-ground removal systems, object recognition and image labeling systems. Her research has contributed to the understanding of context-dependent spatial vision, spatial masking, theoretical and computational psychophysics, and the application of fuzzy set theory to human and machine vision. She is a visiting scholar at the Berkeley Initiative for Soft Computing in the Electrical Engineering and Computer Science department at U.C. Berkeley. She is currently writing a book for Oâ€™Reilly Media titled: "Essential Computer Vision: Fuzzy and Bayesian techniques" with co-author Anthony Di Franco.