About
Min Shu serves as an Assistant Professor in the Department of Statistics, Actuarial and Data Sciences at Central Michigan University, teaching graduate and undergraduate courses in Statistics and Data Science.
Education:
- Ph.D. in Statistics, State University of New York at Stony Brook, NY (2019)
Research Interests: Dr. Shu's work centers on financial statistics and data science applications in finance, with emphasis on quantitative methodologies. His research bridges statistical theory with real-world financial data analysis, focusing on risk modeling and predictive analytics within market systems.
Scientific Awards and Fellowships:
- Excellence in Teaching Award, Stony Brook University (2019)
- MAA Project NExT Gold'21 Fellow
Professional Activities: Active in the American Statistical Association and American Finance Association, Dr. Shu currently seeks PhD students for his research group specializing in financial data science. Prospective students should contact him directly with their CVs for research opportunities in quantitative finance applications.
