"A Computational Trick Can Also Be a Theoretical Trick"

This conference is in celebration of Alan Edelman's 60th birthday. Alan is well-known for his contributions across many fields in mathematics, computational science and computer science. In this conference, we are trying to cover the many areas of random matrix theory, numerical linear algebra, and scientific computing that have been enriched by Alan's contributions, which often bring into sharp focus how a nice computational "trick" often offers a nice theoretical insight, in reverse from the usual direction. We would greatly appreciate the sharing of anecdotes, quotes, and stories involving Alan!

Alan's ability to seamlessly weave together strands of theory and computation into brilliant results has left a deep imprint on numerical analysis, scientific computing, and random matrix theory. It has brought these fields together in amazing and surprising ways, and it has shown how they can influence and reflect on each other as parts of the same, grander pattern. We hope to be able to properly celebrate his work and his 60th birthday in July 2023 at MIT, and we hope you will be able to join us. Please register at here.

Confirmed Speakers

  • Dan Spielman, Yale University
  • Francoise Tisseur, University of Manchester
  • Nick Trefethen, University of Oxford
  • Gil Strang, MIT
  • John Urschel, Harvard University
  • Alex Townsend, Cornell University
  • Sherry Li, Lawrence Berkeley National Laboratory
  • Steven Johnson, MIT
  • Jeremy Kepner, MIT Lincoln Lab
  • Raffaele Ferrari, MIT
  • More to come ...
  • Organizers

  • Jeff Bezanson, Julia Computing
  • Ioana Dumitriu, UC San Diego
  • Sung Woo Jeong, MIT
  • Raj Rao Nadakuditi, University of Michigan
  • Viral Shah, Julia Computing
  • Brian Sutton, Randolph-Macon College
  • Bernie Wang, Amazon