Regular biography
Su Jiang is an Assistant Professor in the Department of Civil and Environmental Engineering (CE) at Carnegie Mellon University. Their research focuses on areas related to civil and environmental engineering, though specific details are not provided. Su Jiang can be contacted via email at sujiang@andrew.cmu.edu, and their professional profile is available at https://www.cmu.edu/cee/people/bios/jiang-su.html.
Scholar-generated biography
Su Jiang is an Assistant Professor at Carnegie Mellon University, specializing in scientific machine learning, data assimilation, subsurface flow, and environment and energy. Their research focuses on developing advanced computational methods to enhance subsurface flow modeling and improve predictions for geological CO₂ storage and enhanced geothermal systems. By integrating machine learning with physical models, Jiang's work addresses challenges in uncertainty quantification, history matching, and parameter estimation. Their publications explore topics such as data-space inversion, surrogate modeling, and deep learning for subsurface processes, emphasizing the application of these techniques to environmental and energy systems.