Julie Sherman

 

Research: I am interested in applications of math to climate and ecosystem modeling. In particular, I currently study dynamical systems as well as data-driven models of stratospheric wind and the marginal ice zone. My PhD advisor is Dr. Ken Golden. You can see my CV here.

Teaching:

• MATH 1070 Introduction to Statistical Inference
  • Spring 2023
• MATH 3070 Applied Statistics R Lab I
  • Spring 2022
  • Fall 2021
• MATH 3080 Applied Statistics R Lab II
  • Spring 2022
• MATH 1090 Algebra for Business Students
  • Fall 2019