Tianfang Xu: CSE 2015 Fellow

Civil and Environmental Engineering

Bridging Models and Data: High Performance Computing for Bayesian Calibration of Geoscience Models with Structural Error

My research interests include uncertainty analysis and numerical simulation of groundwater flow and solute transport, and application of machine learning in geoscience. I am currently developing an efficient Bayesian uncertainty quantification framework that incorporates imperfect groundwater models with various observatory data.

Biography:
I am currently a PhD student in the Department of Civil and Environmental Engineering at University of Illinois Urbana-Champaign, working with Professor Albert J. Valocchi. I received my M.S. degree in Civil Engineering from University of Illinois in 2012. My MS work was focused on using machine learning techniques to improve prediction accuracy of regional groundwater models. In 2010, I received a B.S. degree in Earth Sciences and Engineering from Nanjing University, China. For more information see my website.

For a brief research video: https://youtu.be/xOPQeLy8OBg

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