Position Type
- Present

I’m a statistician who plays with data every day. I love the uncertainty in statistical inference and the beauty of mathematical modeling. Right after completing my PhD degree in statistics, I joined Denison University. I love interdisciplinary research, especially in healthcare and biomedical sciences. I’m a dog person with a cat named Caviar.

B.S. Statistics, Beijing Normal University; M.S and Ph.D. Statistics, University of Connecticut

Learning & Teaching

  • DA 101
  • MATH/DA 220


I work on applied probability and statistics with a particular interest on sequential analysis.

My current research interests include multivariate analysis, sequential analysis, change point detection, and sample size determination. I used to work on large population-based public health datasets and conduct secondary analyses to estimate the prevalence of and associations between risk factors, behaviors, disease states, and other health-related outcomes.


  • Mukhopadhyay, N., and Wang, Z.. (2019). A general theory of purely sequential minimum risk point estimation (MRPE) of a function of the mean in a normal distribution. Sequential Analysis, 38(4), 480-502.
  • Mukhopadhyay, N. and Wang, Z.. (2020). Purely Sequential FWCI and MRPE Problems for the Mean of a Normal Population by Sampling in Groups with Illustrations Using Breast Cancer Data, Sequential Analysis 39
  • Wang, Z. and Pena, Malaqu ́ıas. Offline and Online Ramp Events Detection Methods. In Progress.


Professional Memberships
  • American Statistical Association (ASA)
  • Institute of Mathematical Statistics (IMS)
  • New England Statistical Society (NESS)
  • International Chinese Statistical Association (ICSA)
Back to top