Guang Lin CV
150 N. University Street,
West Lafayette, IN 47907-2067
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 high-order numerical algorithms to promote innovation with significant potential impact and design highly-scalable 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
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.
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, 2016-2021
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, 2014-2017.
4 Startup Fund from Purdue University， 2014-2019