I'm happy to serve as a mentor for undergraduate research projects in dynamical systems and climate. Students who are interested in working with me should have taken Calculus I and II (MATH 1271 and 1272, or equivalent) and Linear Algebra and Differential Equations (or be currently enrolled). They should also be willing to learn a mathematical programming language like MATLAB, Python, or Mathematica. Prior knowledge of programming is not necessary! If you're interested in working on a project with me, please send me a short email with the following items:
(1) the reason you are interested in doing a math research project,
(2) what interests you about math and climate, and
(3) a few times you are available to meet in the coming week for a 30 minute discussion about possible projects.
In your email, please feel free to address me by my first name. The UMN undergraduate research office has a nice sample letter if you're struggling to get started.
I have mentored several undergraduate projects at UMN. Below are my students and their project titles:
E. Jaschke, "Adapting the Budyko Energy Balance Model to Pluto"
K. Kieu, "Detecting rate-induced tipping in two dimensional systems"
E. Reed, "Proposed Effects of Early Agriculture on Current Climate"
J. Sherman, "Constraints on the Oceanic Carbon Sink using Atmospheric Oxygen Data"
As an undergraduate I worked with Mark Schneider on a physics project showing interference between two photons and Marc Chamerbland on a computational combinatorics project featuring the multiplicative partitions of positive integers. I also worked with Kevin Hartshorn on a compuational geometry project that investigated the folding of non-convex polygons.
Even though these projects are unrelated to my current research, they were good stepping stones for learning the computational skills needed in my graduate work and how to conduct research.
Last Modified: August 6, 2018 The views and opinions expressed in this page are strictly those of the page author.
The contents of this page have not been reviewed or approved by the University of Minnesota.