Zhe Wang

Zhe Wang

Assistant Professor
Position Type
Faculty
Service
- Present
Specialization
Statistics
Pronouns
She / Her / Hers
Biography

I am the statistician in the Data Analytics Program. I love the uncertainty that makes statistical inference interesting and the elegance of mathematical modeling. At Denison, I teach across the Data Analytics curriculum and mentor students on research projects. I enjoy working with undergraduates on both theoretical questions (yes, math!) and applied projects (yes, coding!). When I’m not working with data, I enjoy spending time with my kiddos: a busy toddler, a cat who runs the house, and a dog who happily goes along with it.

Degree(s)
B.S. Statistics, Beijing Normal University; M.S and Ph.D. Statistics, University of Connecticut

Learning & Teaching

Courses
  • DA 101: Introduction to Data Analytics
  • DA 201/202: Data Analytics Colloquium
  • DA/MATH 220: Applied Statistics
  • DA 301: Practicum in Data Analytics
  • DA 352: Advanced Predictive Methods in Data Analytics
  • DA 380: Sequential Analysis and Applications
  • DA 401: Seminar in Data Analytics

Research

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

My research is in sequential analysis, which studies how to make statistical decisions while data are still being collected in real time, rather than waiting until the very end. I am interested in questions such as when we have enough information to make a reliable decision, how to detect meaningful changes as they are happening, and how to design data collection more efficiently. I also collaborate with researchers in areas such as linguistics and health care, using statistical modeling and data analysis to answer real-world questions.

Works

Publications
  • 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.

Service

Professional Memberships
  • American Statistical Association, Columbus Chapter — Vice President (2026), President (2027), Past President (2028)
  • Math Alliance — Denison University Representative

Other

Honors & Awards

Mu Sigma Rho Early Career Undergraduate Impact Award

Mentioned In...

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