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expertise in areas such as approximate inference, Bayesian statistics, continuous optimization, information geometry, etc. We work on a variety of learning problems, especially those involving supervised
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research utilizing information networks. We focus on maximizing researcher's performances by ensuring efficient network utilization and system/application optimization. Leveraging insights from our
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intelligence, etc.), Physics I (particle, nuclear, astrophysics, etc.), Physics II (condensed matter etc.), Chemistry, Biology (cell biology, developmental biology, plant biology, structural biology
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