Gang Zhao uses remote sensing techniques, large scaling modeling, and geostatistical methods to investigate water quality issues such as eutrophication, nutrients transport, water temperature, etc. His current research uses ocean color remote sensing and generalized additive model to assess the impacts of climate change on coastal chlorophyll-a dynamics.

Before joining the Department of Global Ecology at Carnegie, he received his B.S. in Environmental Science in 2012 from Nankai University, and his M.S. (2014) and Ph.D. (2018) in Civil Engineering from Texas A&M University. His Ph.D. work addresses the issues related to global open water evaporation by fusing modeling and remote sensing approaches. He has always been fascinated by large scale geospatial analysis using cloud computing platforms.