Guang Lin

 Guang Lin


Director: Data Science Consulting Service; Professor: Departments of Mathematics, Statistics & School of Mechanical Engineering 


Ph.D, 2007, Applied Mathematics, Brown University
M.S., 2004, Applied Mathematics, Brown University
M.S., 2000, Mechanics and Engineering Science, Peking University, P.R. China
B.S., 1997, Mechanics, Zhejiang University, P.R. China

Research Areas

Big data analysis and statistical machine learning Predictive modeling and uncertainty quantification Scientific computing and computational fluid dynamics Stochastic multiscale modeling 

Notable Awards

University Faculty Scholars, Purdue University, 2019.

2016 National Science Foundation (NSF) Faculty Early Career Development
(CAREER) award from NSF Division of Mathematical Science, 2016.

Mentor in Wentao Chen’s Purdue undergraduate team, awarded the Prize of
Finalist in the MCM math modeling contest in 2016

2015 Mathematical Biosciences Institute Early Career Award, Fall 2015

2012 Ronald L. Brodzinski Award for Early Career Exception Achievement
(two awards each year in the whole PNNL with 5000 researchers), April 2012.

Department of Energy Pacific Northwest National Laboratory Early Career
Award, Scalable Solvers for Uncertainty Quantification of Large-scale Stochastic
Partial Differential Systems, PI: Guang Lin, 2012-2013, $100,000.00.

2010 Department of Energy Advanced Scientific Computing Research
Leadership Computing Challenge (ALCC) award with 2010 Allocation Amount:
5,000,000 processor hours at OLCF, ORNL.

Brown University Ostrach Fellowship, Division of Applied Math, Brown
University, Fall 2005.

Outstanding Performance Award, Pacific Northwest National Laboratory, 2010. 


Dr. Guang Lin is a Professor at the Department of Mathematics & School of Mechanical Engineering, Purdue University. Prior to his appointment at Purdue he was a Senior Staff Scientist at Pacific Northwest National Laboratory. He received his PhD in Division of Applied Mathematics from Brown University in 2007. 

Coming Up!

Our annual security symposium will be March 28th and 29th, 2023.
Purdue University, West Lafayette, IN

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