Dr. Qi Yang

I'm currently a postdoctoral researcher at the Max Planck Institute for Biogeochemistry. The broad scope of my research interests is in modeling the ecosystem (especially agroecosystem) carbon cycle under the context of climate change and improving the ecosystem modeling via knowledge-guided machine learning, hybrid modeling, data assimilation, and digital twin technology. I am currently working on improving ecosystem carbon & water cycle simulation by integrating prior knowledge into the deep neural network. My research addresses fundamental questions encompassing how crop growth should be monitored and modeled, and how data-driven methods and prior knowledge can help constrain the physical process-based model for better prediction and decision-making.