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Guang Lin

Prof. Guang Lin

Department of Mathematics,  Purdue University System
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Guang Lin is a Professor at the School of Mechanical Engineering and Department of Mathematics at Purdue University. Prof. Guang Lin is the Director of Data Science Consulting Service, he performs cutting-edge research on data science and provides hands-on consulting support for data analysis and business analytics in all areas to overcome data science challenges arising in research, education, and business and organization management. His research interests include diverse topics in computational and data science, both on algorithms and applications. His main current interest is machine learning, data-driven modeling, stochastic simulation, and the multiscale modeling of interconnected, physical, and biological systems. Prof. Lin is currently a member of the Purdue Engineering Initiative in Data Engineering and Application. Prof. Lin has received various awards, such as the NSF CAREER Award, Mid-Career Sigma Xi Award, University Faculty Scholar, Mathematical Biosciences Institute Early Career Award, and Ronald L. Brodzinski Award for Early Career Exception Achievement.

Research Keywords & Expertise

Uncertainty Quantifica...
Big Data Analysis
Modeling & simulation
Machine learning (arti...
Data science and artif...

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Uncertainty Quantification
5%
Modeling & simulation

Short Biography

Guang Lin is a Professor at the School of Mechanical Engineering and Department of Mathematics at Purdue University. Prof. Guang Lin is the Director of Data Science Consulting Service, he performs cutting-edge research on data science and provides hands-on consulting support for data analysis and business analytics in all areas to overcome data science challenges arising in research, education, and business and organization management. His research interests include diverse topics in computational and data science, both on algorithms and applications. His main current interest is machine learning, data-driven modeling, stochastic simulation, and the multiscale modeling of interconnected, physical, and biological systems. Prof. Lin is currently a member of the Purdue Engineering Initiative in Data Engineering and Application. Prof. Lin has received various awards, such as the NSF CAREER Award, Mid-Career Sigma Xi Award, University Faculty Scholar, Mathematical Biosciences Institute Early Career Award, and Ronald L. Brodzinski Award for Early Career Exception Achievement.