Dr. Shuang Zhang

Biography

Shuang Zhang is an interdisciplinary geochemist, modeler, and data scientist whose research broadly utilizes data-driven and model-driven approaches to quantify patterns in element flux and isotope behavior involved in global carbon biogeochemical cycles, especially during periods of climatic perturbations. With extensive experience in data mining, data assimilation, and large-scale spatial-temporal statistical analysis, Zhang employs machine learning to uncover intrinsic patterns in nature’s processes that are often difficult to capture with classical physical process models. He focuses on numerical modeling, particularly regarding the global carbon cycle, which serves as a critical tool in his research. Current topics in his work include building inverse modeling frameworks to understand Earth-surface processes related to carbon cycle perturbations and applying data science techniques to constrain biogeochemical cycles, including surface and subsurface weathering fluxes.

Research Interests

Awards