Scholar
Jeff Calder
Google Scholar ID: QnD4vigAAAAJ
Professor, University of Minnesota
Citations & Impact
Citations
1,348
H-index
20
i10-index
33
Publications
20
Co-authors
9
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Co-authored the book 'Linear Algebra, Data Science and Machine Learning' with Peter Olver, to be published by Springer in August 2025; Developed the GraphLearning Python package; Delivered lectures and provided related code and slides at various academic conferences; Supported by the National Science Foundation, Alfred P. Sloan Foundation, and McKnight Foundation.
Research Experience
- Professor of Mathematics at the University of Minnesota; Co-founder of the AMAAZE consortium for mathematics and anthropology.
Background
- Professor of Mathematics at the University of Minnesota, with research interests in the intersection of partial differential equations (PDE), numerical analysis, applied probability, and computer science. Focused on the rigorous analysis of PDEs and the development and implementation of algorithms.
Miscellany
- Interested in the mathematics of image and data analysis, has written notes for a senior undergraduate course; Involved in several educational projects and academic activities.
