Author

Harrison Goldwyn is a Researcher in the Data, Analysis, and Visualization Group at NREL. He is a staunch generalist, having traversed from his PhD in mathematical physics to disease transmission modeling and finally to data science for renewable energy research. Harrison loves taking lessons learned in one field and applying them to another, but if he had to pick a specialty it would be Bayesian probability theory and its application to uncertainty quantification in model-based prediction.