Dimitris Giovanis

Scientific Machine Learning & Uncertainty Quantification

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I have joined the National Science Foundation’s SimCenter team in order to use my expertise in uncertainty quantification (UQ) and machine learning to aid in software development tasks related to UQ/ML in SimCenter software tools that will help to understand and quantify the effects of earthquakes, hurricanes, tsunamis, and other natural hazards on buildings, lifelines, and communities.

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