UMass Boston


Senior Statistician

Jie Chen


Jie Chen, PhD

Areas of Specialization
Research:  Jie Chen's current research interests focus on 
Applied Probability, Parametric Bootstrap, Scan Statistics,
Statistical Inference and Computation, and Statistical Learning.

MATH 125: Introduction to Statistics,
ECON452, Econometrics,
Workshops in Applied Statistics,  and in using software such as
SAS, SPSS, Stata, R, AMOS, MPlus Python, and WinBUGS.


Education History
BS,  Geophysics, Peking University, 1986
MS, Statistics, University of Rhode Island, 1993
PhD, Statistics, University of Connecticut, 1998

American Statistics Association.
International Chinese Statistics Association.
Institute of Mathematical Statistics.
SAS Institute

Recent Articles in Professional Journals:

  • Chen, J. and Glaz, J. (2024). Scan Statistics for Detecting the Local Change in Model Parameters for Normal Data. Handbook of Scan Statistics. Springer, New York.
  • Pamoda Galhenage; Yunlan Zhou; Erica Perry; Brenda Loc; Sonia Iyer; Ferenc Reinhardt; Tiego Da Silva; Vladimir Botchkarev; Jie Chen; Christopher Crum; Robert Weinberg; Shailja Pathania (2023). Replication Stress and Defective Checkpoints Render Fallopian Tube Epithelial Cells as Putative Driver of High-Grade Serous Ovarian Cancer. Cell Reports.
  • Grigal, M., Papay, C., Migliore, A., Choiseul-Praslin, B., & Chen, J. (2023). Preparation for postsecondary education of transition aged youth with intellectual disability and autism spectrum disorder in the United States:  An Analysis of data from the national longitudinal transition study 2012.  Journal of Intellectual Disabilities, advanced online publication. 

Recent Papers Presented at Scientific Meetings and Conferences:

  • Chen, J. and Glaz J. (2023). Scan Statistics in Sequential Trials. Presented at the 10th International Workshop in Applied Probability ( IWAP 2023). Thessaloniki, Greece, June 7 – 10, 2023.
  • Ferguson, T. Jorgensen, P., and Chen, J. (2023). “No Bargain: Big Money and the Debt Ceiling Deal. ”Institute for New Economic Thinking. May, 2023.
  • Kim, Marlene; Fitzpatrick, Anne; Chen, Jie (2023). Does the Minimum Wage Reduce the Gender Wage Gap in the United States? IAFFE 2023 Annual conference. July 5 – 8, 2023. Cape Town, South Africa.



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