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Daphne Koller
My main research focus is on using probabilistic models and machine learning to understand complex domains that involve large amounts of uncertainty. Within that topic, my work touches on many areas: representation, inference, learning, and decision making. We like to be driven by real-world problems, and therefore a lot of my group's work tackles various application domains. Most recently, we have focused on problems in computer vision and in computational biology and medicine. You can find out more about the group's work from my publications page and from the DAGS group page.

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