Mathematical Methods in Data Science

She received the Ph.D. degree in applied mathematics from Beijing Institute of Technology, Beijing, China, in 2004. Her research interests include data science, applied mathematics, and applied statistics. She conducted five Projects of National Nature Science Foundation of China, one Alexander von Humboldt Fellowship for Experienced Researcher, and five Provincial Projects. She has published numerous articles in scholarly journals, such as Acta Mater.?Appl. Phys. Lett.?IEEE Trans. SMC?Infor. Sci.?J. Stat. Phys.?J. Nonlinear Sci.? Phys. Rev. B?Phys. Rev. E?Sci. China Math.?Sci. China Phys. and Sci. China Mater., etc. He completed his doctorate in mathematics, while also earning a master's degree in computer science at Michigan State University in 1997. He worked as a full-time software engineer in industry for almost ten years before joining Arizona State University. Dr. Wang’s research interests include applied mathematics, data science, differential equations, online social networks. He has published numerous articles in scholarly journals and a book entitled, “Modeling Information Diffusion in Online Social Networks with Partial Differential Equations”, Springer, 2020. Recently he developed and taught a course, Mathematical Methods in Data Science, at Arizona State University.

1. Linear Algebra 2. Probability 3. Calculus and Optimization 4. Network Analysis 5. Ordinary Differential Equations 6. Partial Differential Equations