Shree Dangal, Phd is a lead modeler/research associate at AgNext focused on modeling and quantifying greenhouse gas emissions from animal production systems. With over 15 years of experience, Shree Dangal has been at the forefront of research aimed at understanding the impacts of land cover land use change, and human activities on terrestrial ecosystems at diverse temporal and spatial scales.

Shree Dangal earned a Ph.D. in Forest Science (Concentration: Earth System Science) and a minor in Statistics from Auburn University, where he developed a scalable process-based model to account for the impacts of domestic herbivores on the grassland productivity and greenhouse gas fluxes. Later, He spent four years at the Woodwell Climate Research Center, Falmouth, MA, modifying and developing the process-based DAYCENT model to improve the representation of soil carbon cycling following agricultural and grassland management practices in the US Great Plain region. During his research career, He has collaborated with several prestigious organizations such as West Virginia University, Harvard University, USDA Kellog Soil Survey Laboratory, University of Nebraska – Lincoln, and the US Department of Defense on different projects related to land use change, and terrestrial ecosystem processes.

Throughout his career, Shree Dangal has published over 30 peer-reviewed articles in leading scientific journals, playing a key role in integrating observation data, machine learning model outputs, and remote sensing products to improve model representation of biogeochemical processes at various spatial scales. In addition to research, Shree Dangal is passionate about mentoring young scientists and participating in community outreach programs to promote environmental education. Outside of his professional work, he enjoys hiking, sports (soccer), and traveling.