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Jianliang Qian is a professor in the Department of Mathematics at Michigan State University. His main research interest involves carrying out big-data analysis and solving inverse problems using fast algorithms. His research group focuses on developing efficient algorithms for applications in geophysical inversion and medical imaging. Qian’s work applies tools from scientific computing, numerical analysis, microlocal analysis, harmonic analysis, optimal control, calculus of variations, and partial differential equations to tackle complex problems in these fields. Through his advancements in algorithm development, he aims to enhance the effectiveness and speed of processing large datasets, which is crucial in both scientific research and practical applications. He teaches various courses in mathematics, including those that center around foundational concepts in data science and numerical methods for partial differential equations.
Department of Psychology