Ming-25

Ming Fan

Research Scientist

Contact

FANM@ORNL.GOV

Bio

Ming Fan is a research scientist in the Computational Sciences and Engineering Division at Oak Ridge National Laboratory (ORNL). His research focuses on the intersection of machine learning, surrogate modeling, inverse modeling, uncertainty quantification, and high-performance computing. Ming collaborates with interdisciplinary teams of Earth and computational scientists to develop novel AI/ML methodologies, advancing the field of Earth sciences.

Publications

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Key Links

Google Scholar
ORCID
LinkedIn
GitHub

Organizations