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Morrison, Rebecca Elizabeth Assistant Professor

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Research

research overview

  • Rebecca Morrison works at the interface between physics-based and data-driven models. In particular, she researches sparse structure learning in non-Gaussian graphical models and representations of model inadequacy in reduced systems. These topics are motivated by the goal to make reliable predictions of physical systems using computational models, physical constraints, and available data sets.

keywords

  • uncertainty quantification, applied probability, probabilistic graphical models, model inadequacy, Markov random fields, calibration and validation, predictive modeling

Publications

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global connections related to teaching and scholarly work (in recent years)

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