Dan Lu

Bio

Dan Lu is a staff scientist in the Computational Earth Sciences Group at Oak Ridge National Laboratory (ORNL). She earned her Ph.D. in Computational Hydrology at Florida State University in 2012 and joined ORNL in 2013 after one-year Postdoc in U.S. Geological Survey. Dan has broad research interests including: Machine Learning (ML), Uncertainty Quantification (UQ), Surrogate Modeling, Inverse Modeling, Sensitivity Analysis, Experimental Design, and Numerical Simulations in Earth, Climate and Environment Sciences. Dan is co-leading the Artificial Intelligence Initiative and is in the leadership team of Climate Change Science Institute at ORNL. She is the PI of a UQ for ML project, the PI of a Hydropower project, and the PI of a Geological Carbon Storage project. Dan authored about 60 publications and co-developed two softwares. She has been actively involved in AGU Groundwater Technical Committee and NeurIPS Climate Change AI Program Committee. Dan is currently serving as an Associate Editor of the journal Artificial Intelligence for the Earth Systems, an Associate Editor of the journal Frontiers in Water, and a Topic Editor of the journal Geoscientific Model Development. 

Her personal webpage is here.