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with Dr. Emily Becker and the NOAA Climate Prediction Center. Key responsibilities Train neural networks and quantify uncertainty to evaluate predictability Perform explainable AI (XAI) related research
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as this is a principal goal of the Sharifi Laboratory. For example, we have shown that our discovery of a gain-of-function in a steroid-synthesizing enzyme is a predictive biomarker of poor outcomes
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Application in CFD/FEA: Develop and apply AI and machine learning methods to derive more generalized and predictive models from existing CFD and FEA results. The goal is to enhance the understanding of stenting
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