Mr. Yunjie Liu has a broad interest in understanding the dynamics and physics of how climate change has and will impact extreme events. For example, the physical processes involved in triggering and sustaining extreme events. The role of ocean, land surface process in regulating climate change. Methodologically, he is interested in leveraging advanced computing on developing statistical, machine learning and deep learning methods for climate change research. He is also interested in complex dynamic systems both in theory and application to climate system, brain neural system and artificial neural networks.
Trained as a modeler, Mr. Yunjie Liu is also very interested in developing models that can appropriately replicate nature systems by incorporating best understanding of physical principles involved in natural phenomenon. For example, conservative and reactive solute transport modeling in heterogeneous porous media, integrated hydrologic modeling. Currently, he is interested understanding processes that can profoundly influence climate response, trigger and sustain extreme events. And to incorporate them into climate models, such as convection, land surface process and ocean processes.