Zexuan Xu is a hydrology postdoctoral researcher at Earth and Environment Science Area, Lawrence Berkeley National Laboratory (LBNL), and Data Science Fellow at Berkeley Institute for Data Science and U.S./China Clean Energy Research Center for Water-Energy Technologies (CERC-WET) at University of California, Berkeley. Before joining Berkeley Lab, Zexuan received his PhD degree in hydrology and groundwater modeling at Florida State University (FSU). His PhD dissertation is “Data analysis and numerical modeling of seawater intrusion through conduit network in a coastal karst aquifer.”
As the Data Science Fellow at BIDS and CERC-WET, Zexuan is working on the large-scale data analysis and variable-resolution climate modeling to study water resources in a changing climate. He develop the reproducible data tool for climate models, and would like to bring the cutting-edge methodologies and data analysis tools to problems in the earth and environmental sciences. He is also interested in the data-driven technique in climate and hydrology predictive model using machine learning algorithms.