Research Interests
Scalable numerical modeling of subsurface flow and reactive transport in HPC
Fast inverse modeling and data assimiliation with uncertainty quantification
Stochastic optimization and optimal control
Physics-informed deep learning and big data analytics
Numerical linear algebra
Education
Awards
Google Cloud Research Innovator, 2022
Oak Ridge Institute for Science and Education (ORISE) Faculty Fellow, 2018-Current
Google Cloud Platform Research Credits, 2020-2023
Amazon Web Services Educate Credits for CEE696 Deep Learning in CEE and ES, 2019
Amazon Web Services Cloud Credits for Research Program, 2016-2018
Oak Ridge Institute for Science and Education (ORISE) Fellowship, 2016-2017
One of 15 early career researchers accepted for IdeaLab 2015: Inverse Problems and Uncertainty Quantification, Institute for Computational and Experimental Research in Mathematics, Brown University, Rhode Island, USA, July 6-10, 2015
Charles H. Leavell Graduate Student Fellowship, Stanford University, 2012-2014
Borland Hydrology New Graduate Student Scholarship, Colorado State University, 2008
Editorial Board
Associate Editor in Journal of Hydrology (Elsevier): 2018 - Present
Guest Editor in Stochastic Environmental Research and Risk Assessment (Springer) Special Issue: Advances in Uncertainty Quantification for Water Resources Applications, 2021
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