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Home Members Guang Lin


  • Organization
    Purdue University

  • Employment Type
    University / College Faculty

  • Address(es)
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  • Biography

    Guang Lin is an Assistant Professor in the Department of Mathematics & School of Mechanical Engineering at Purdue University.

    He is also an Affiliated Faculty in the Department of Applied Mathematics at University of Washington; an Adjunct Associate Professor in the Applied and Computational Mathematics and Statistics Department at University of Notre Dame; and an Adjunct Associate Professor in the Department of Mathematics at University of North Carolina, Chapel Hill.

    Guang obtained a PhD in applied mathematics from Brown University in 2007 and worked as a research scientist at Pacific Northwest National Laboratory from 2007 to 2014. He joined Purdue University in 2014. He is a recipiant of the Ronald L. Brodzinski Award for Early Career Exception Achievement in 2012. He also received 2010 DOE ASCR Leadership Computing Challenge award in recognition of his work in analyzing big climate data using extreme-scale supercomputers.

    Guang's research interest lies in the predictive science, uncertainty quantification, scientific computing, Bayes statistics, mathematical biology, computational fluid dynamics, and stochastic multiscale modeling. His research interests include diverse topics in computational and predictive science both on algorithms and applications. A main current thrust is stochastic simulation (in the context of uncertainty quantification and beyond), and multiscale modeling of physical and biological systems (e.g., blood flow)., a resource for nanoscience and nanotechnology, is supported by the National Science Foundation and other funding agencies. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.