What are we doing?
Welcome to CACEE Lab @ Texas A&M University!
Our group broadly uses data-driven and model-driven approaches to quantify the patterns of element flux and isotope behavior involved in the global carbon and biogeochemical cycles, especially under periods of climatic perturbations.
Extensive data mining, data assimilation, large-scale spatial-temporal statistical analysis, and machine learning are frequently used in our research projects. We hope geo-statistics and machine learning could reveal the intrinsic patterns of nature’s processes that are sometimes extremely difficult to be captured by classical physical process models. With that being said, in areas where data is extremely limited or data-driven approaches are not suitable, numerical modeling (e.g., modeling the global carbon cycle) also serves as a critical tool in our research.
We are seeking a a Postdoctoral Researcher to work on modeling river networks and biogeochemical processes. Postdoctoral appointment is initially for two years, with the possibility of renewal for subsequent years based on satisfactory performance and continued funding. Click here for a detailed job description and to discover more about the application process.
We are pleased to welcome Ph.D. students, Yating and Xiying, to our lab! Click here for more info about them.
Dr. Shuang Zhang was invited to deliver a talk at the headquarters of 3M company in Minneapolis. The title of his talk is “River constraints on the carbon capture potential of enhanced rock weathering.”
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