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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. |
Recent News
We are recruiting new Ph.D. students! Click here for more information.
2023-03-24
Graduate student Bailey Armos won first place for Graduate Oral presentation for Earth sciences at the Student Research Week held at Texas A&M University. The topic of her presentation is “Large scale role of rivers on coastal biogeochemistry in the Gulf of Mexico: A data-driven machine learning approach”. Congratulations! More info can be found here: https://srw.tamu.edu/. 2023-01-31
Dr. Shuang Zhang has a new NSF grant entitled: Into the icehouse: Dramatic changes at the Devonian-Mississippian Climate Transition (DMCT). Dr. Ethan Grossman (Geology and Geophysics) is the lead-PI, with Dr. Shuang Zhang (Oceanography) and Dr. Lucien Nana Yobo (Geology and Geophysics) as co-PIs. More info can be found here: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2241039&HistoricalAwards=false |