Bing Gong

Bing Gong is a research scientist at the Data Science Institute of the University of Chicago. Her research focuses on developing state-of-the-art, scalable deep learning neural networks in weather prediction applications. Prior to joining the University of Chicago, Bing Gong held a position as an assistant professor at Shanghai Normal University in China and was a postdoctoral researcher at the Jülich Supercomputing Center in Germany. She obtained her Ph.D. in the field of artificial intelligence in the application of environmental science and energy from the Technical University of Madrid, Spain, in July 2017.

Research focus: Deep learning for Earth Systems,  weather prediction