
Guang Lin
CV
Associate Professor Department of Mathematics
& School of Mechanical Engineering 150 N.
University Street, West
Lafayette, IN 479072067 Office: Math 410 Office phone: +1 765 4941965 
Professional
activities 
Approximation
Theory and Machine Learning Conference, Purdue,
Sep. 2930, 2018 Workshop on
the Current Trends and Challenges in Data Science and Uncertainty
Quantification, Purdue, Mar. 31, 2018 
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
1.
Big data analysis and statistical machine learning
2.
Predictive modeling and uncertainty quantification
3.
Scientific computing and computational fluid dynamics
4.
Stochastic multiscale modeling
My research interests include diverse topics in computational and
predictive science and statistical learning both on algorithms and
applications. A main current thrust is stochastic simulation (in
the context of uncertainty quantification, statistical learning and beyond),
and multiscale modeling of physical and biological systems (e.g., blood flow).
My research goal is to develop highorder numerical algorithms to promote
innovation with significant potential impact and design highlyscalable
numerical solvers on petascale supercomputers to
investigate new knowledge discovery and predictive modeling for critical
decision making in complex physical and biological complex systems.
1.
NSF
CAREER Award, 2016
2.
Mentor
for Purdue undergraduate team, awarded the Prize of Finalist in the MCM math
modeling contest，2016
3.
Mathematical Biosciences Institute
Early Career Award, 2015
4.
Ronald
L. Brodzinski Award for Early Career Exception
Achievement, Department of Energy Pacific Northwest National Laboratory, 2012.
5.
Early
Career Award, Department of Energy Pacific Northwest National Laboratory，2012.
6. Advanced Scientific Computing
Research Leadership Computing Challenge (ALCC) award, Department of Energy， 2010.
7.
Outstanding
Performance Award, Department of Energy Pacific Northwest National Laboratory,
2010.
8.
Ostrach
Fellowship, Brown University, 2005.
Current Research Grants
1
Career:
Uncertainty Quantification and Big Data Analysis in Interconnected Systems:
Algorithms, Computations, and Applications, 2016 National Science Foundation (NSF)
Faculty Early Career Development (CAREER) award, 20162021
2
2015
Mathematical Biosciences Institute
Early Career Award, PI: Guang Lin, Sep.Dec., 2015
3
Subcontract
from Department of Energy Pacific Northwest National Laboratory on following
two DOE Math Center grants, 20142017.
4
Startup
Fund from Purdue University， 20142019