Douglas Garrett has extensive experience in research and development roles, with a focus on computer vision, text analysis, and algorithmic design. Their work includes projects such as developing a real-time automatic demographic smoother and commercial features as a vector space. Garrett has also worked on SEM bidding optimization and Bayesian modeling for lead conversion rates. Their research assistant roles involved implementing facial detection systems and studying conduction electron dynamics in thin metal films.
Douglas Garrett holds a B.S. in Physics from the University of Southern California. Douglas later obtained a Ph.D. in Physics with a focus on Computer Vision from the same university.
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