I am an assistant professor in the Department of Oceanography at Texas A&M University (located in College Station, Texas USA).
I am an interdisciplinary geochemist, modeler and data scientist. My research 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 by my research group. We believe 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.
I am currently recruiting MS and PhD students. Interested students should check our departmental website for the admission requirements. I strongly encourage prospective students to reach out to me by email to learn more about opportunities in my research group.
Ph.D. in Geochemistry, 2017
B.S. in Geology, 2011