Jeff Calder

Assistant Professor of Mathematics
538 Vincent Hall
School of Mathematics
University of Minnesota
Phone: 612-626-1324
Email: jcalder at umn dot edu


  • Here are the Slides and Code from my BYU lecture on Graph-based learning.
  • I am currently teaching Math 5467: Intro to Mathematics of Image and Data Analysis. You can find the lecture notes (in progress) here.
  • If you are looking for an advisor for a senior capstone project, see here.
  • I am a co-founder of the AMAAZE consortium for mathematics and anthropology.
  • I just released a Python package for graph-based learning [GitHub] [PyPI].
  • Here are some notes I have written on Viscosity Solutions and the Calculus of Variations.
  • Slides from recent talks can be found on my Talks page.
  • Code for all papers can be found on my Publications page.
  • Here are the slides and lecture notes from my minicourse on PDEs for Data Peeling given at UC Berkeley on May 22--25, 2017 and at the GSSI in L'Aquila, Italy on Sept 6-8, 2017.

About Me

I am an Assistant Professor of Mathematics at the University of Minnesota. My research involves interactions between partial differential equations (PDE), numerical analysis, applied probability, and computer science. I am interested in both the rigorous analysis of PDE, and the development and implementation of algorithms. It is exciting when mathematical analysis and insights can lead to more efficient algorithms. My research is supported by the National Science Foundation and the Alfred P. Sloan Foundation. You can read more on my research page.