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Jeff Calder

Jeff Calder

  • Email:
  • Website
  • University of Minnesota
  • Status: Faculty
  • Department: Math,
  • Will Mentor: Doctoral students, Pre-doctoral students

Areas of Expertise

Applied Mathematics,

Research Interests

Analysis of partial differential equations, viscosity solutions, numerical analysis, applied probability, machine learning, graph-based learning, image processing, computer vision


Jeff Calder is an Associate Professor of Mathematics at the University of Minnesota. His research involves interactions between partial differential equations (PDE), numerical schemes, applied probability, and computer science. He is interested in both the rigorous analysis of PDE, and the development and implementation of algorithms. A continuing theme in his current research is finding continuum limits for discrete combinatorial problems. He is particularly interested when these continuum limits involve solving nonlinear PDEs, and have applications in science and engineering.

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

He obtained his Master's degree in Mathematics from Queen's University under the supervision of Abdol-Reza Mansouri. He also holds a B.Sc. in Mathematics and Engineering from Queen's University specializing in control and communications.