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My work focuses on the evaluation of convection-allowing models, specifically verifying fields that are useful to severe convective storm forecasting. Through verifying and postprocessing these models, I can help forecasters and model developers understand strengths and weaknesses of different models and can create new tools that forecasters can use to make better forecasts. I am specifically interested in improving forecasts of high-impact convective weather, including tornadoes, hail, and severe wind. I am also a co-facilitator of the annual Spring Forecasting Experiment in NOAA’s Hazardous Weather Testbed, where I lead forecasters and researchers through exercises demonstrating cutting-edge numerical weather guidance and forecasting techniques. Regarding the Spring Forecasting Experiments, I am highly involved in developing the subjective evaluations of products which complement objective metrics later gleaned from the dataset generated each spring. Finally, I manage the Spring Forecasting Experiment blog, found at https://blog.nssl.noaa.gov/efp/.