Yingjie Li is an interdisciplinary human-environment scientist. He has a broad research interest in SDGs, telecoupled socio-environmental systems (e.g., land-ocean continuum), and remote sensing.

His recent research focuses on investigating the interactions between large river basins with the coasts. One of the ongoing projects works on integrating remote sensing, long-term coastal water quality data, and a machine learning approach to monitoring global coastal dead zones (aka hypoxia).

The final goal is to develop advanced tools to address challenges in achieving land and ocean-related SDGs.