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Guang Lin is the Moses Cobb Stevens Professor in the School of Mechanical Engineering at Purdue University. He also serves as the Associate Dean of Research and Innovation in the College of Science. His research interests include big data analysis, statistical machine learning, predictive modeling, and uncertainty quantification. Additionally, Lin's expertise encompasses scientific computing, computational fluid dynamics, and stochastic multiscale modeling. He is dedicated to advancing fundamental research areas and the application of these technologies in real-world scenarios. In his role at Purdue, Lin contributes significantly to both teaching and research initiatives that bridge the gap between theoretical science and practical engineering solutions.
Purdue University • West Lafayette
Teaching and conducting research in mechanical engineering with a focus on statistical methods and computational techniques.
GRE is not required.