Department ofMathematics

Anne Cook

Anne Cook

Visiting Assistant Professor

253-535-8621 (office)



  • Sunday:
  • Monday:12:00 pm - 2:00 pm
  • Tuesday:1:40 pm - 2:00 pm
  • Wednesday:12:00 pm - 2:00 pm
  • Thursday:1:40 pm - 2:00 pm
  • Friday:12:00 pm - 2:00 pm
  • Saturday:



Statistics, Probability


Ph.D. in Mathematics, American University, 1983

M.A. in Computer Science, Duke University, 1971

B.S. in Mathematics, Duke University, 1970

Anne Welsh was born in Hilo, Hawaii in 1948. Her father was a career Military Officer, and the family moved to Kansas, Alaska, Pennsylvania, Portland, and Virginia. She earned her B.S. in Math at Duke U. in 1970. Anne wrote her Master’s thesis in Math/Engineering in 1971, while working part-time in the Biostatistics unit of the Duke Hospital. The thesis was called “Page Replacement Policies for Virtual Storage Computers”. In 1971 she started a career in government , working as a Mathematical- Statistician for the Census Bureau. At first, she wrote computer programs to pick national samples. Then she worked as a contractor for the National Institutes of Health , the Bureau of Labor Statistics, and the Dept. of Education. It seemed to Anne that Statisticians were able to make all the fun decisions, so in 1978, she decided to get her PhD at American U. in D.C. Her advisor was Dr. Robert Jernigan and her dissertation was on “Asymmetric Time Series”, completed in 1983. Her favorite mentor was Dr. Mary Gray, who earned her law degree while she was chair of the Math Dept and was president of NOW. Anne was an instructor at American U. and taught classes in Calculus, Business Statistics and Computer Science. From 1983-1987 Anne was at P.L.U., teaching Statistics, intro computer courses, and some graduate level courses. She was on the Rank and Tenure Committee, gave some talks, such as “Women in Mathematics” and helped with several capstone projects. Dr. Cook is primarily interested in teaching at P.L.U. where she’s been part-time faculty since 2006. She is interested in helping to test theories of almost anything, using Probability, Statistics, Demographics, Epidemiology, and Econometrics.