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


  • I just released a Python package for graph-based learning on GitHub: GraphLearning.
  • Here are some notes I have written on Viscosity Solutions and the Calculus of Variations.
  • Slides from recent talks can be found here.
  • 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 schemes, 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. A continuing theme in my current research is finding continuum limits for discrete combinatorial problems. I am particularly interested when these continuum limits involve solving nonlinear PDEs, and have applications in science and engineering.

Previously (2014--2016) I was a Morrey Assistant Professor of Mathematics at the University of California, Berkeley. My mentors were Lawrence C. Evans and James A. Sethian. I obtained my Ph.D. in Applied and Interdisciplinary Mathematics from the University of Michigan in 2014. My advisors were Selim Esedoglu and Alfred Hero.

I obtained my Master's degree in Mathematics from Queen's University under the supervision of Abdol-Reza Mansouri. I also hold a B.Sc. in Mathematics and Engineering from Queen's University specializing in control and communications. My Erdös number is 4.