Dan Lu

Dan Lu is a research staff in the Computational Earth Science Group in the Computational Sciences and Engineering Division and the Climate Change Science Institute at Oak Ridge National Laboratory (ORNL). She earned her Ph.D. in computational science at Florida State University in 2012, and joined ORNL in 2013 as a postdoctoral associate in the Computational and Applied Mathematics Group. She was promoted to a research staff in the Computational Earth Science Group in 2016. Dan has broad research interests including: machine learning, uncertainty quantification in Earth, climate and environment sciences, numerical simulation of groundwater flow and solute transport, development of computational methods and algorithms for inverse modeling, sensitivity analysis, and design of experiments for cost-effective data collection.