Name: Xinyu Liu
Office: MATH 435
E-mail: liu1957@purdue.edu

Click here for my resumé.

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My research interests lie broadly in the fields of scientific computing and data science in general. More specifically, my research goal is to develop accurate, efficient and robust numerical methods for partial differential equations. Also, I am interested in using deep learning techniques to tackle a wide range of problems, from image and speech recognition to natural language processing and time series prediction. Now, I am focusing on the application of scalar auxiliary variable (SAV) approach to construct efficient and robust optimization algorithm.