Julia, a Fresh Approach to Technical Computing, 10 years later

Alan Edelman

Massachusetts Institute of Technology
Barton Lectures in Computational Mathematics


Date: Wednesday, March 23, 2022
Time: 4:00 pm - 5:00 pm
Location: Virtual through Zoom
Professor Alan Edelman obtained his Ph.D. from MIT in 1989, where is currently a Professor of Applied Mathematics. He is also the Chief Scientist at Julia Computing, Inc. He is a fellow of the American Mathematical Society, Society of Industrial and Applied Mathematics, Association for Computing Machinery and Institute of Electrical and Electronics Engineers. In 2019, he received the IEEE Computer Society Sidney Fernbach Award. Professor Edelman has lead a somewhat unusual life proving "pure math" theorems in random matrix theory, developing numerical algorithms, and improving software for high performance computing. He has found that the theory and the practice go hand in hand.

Julia, a Fresh Approach to Technical Computing, 10 years later

The Julia community celebrated the 10th anniversary of ‘Why We Created Julia’, the announcement that introduced Julia to the world on February 14, 2012. This celebration includes a new retrospective, ‘Why We Use Julia, Ten Years Later’. One hundred Julia users from fields as diverse as data science, finance, robotics, pharmaceuticals, neuroscience, entomology, quantum physics, astronomy, environmental science and energy each contributed a short paragraph (or more) about how they came to use Julia, why they use Julia to replace Python, C, C++, Fortran, MATLAB, SAS and R, what they have accomplished using Julia and why they continue to love the language.
In this talk, we will illustrate some of the aspects of Julia we find most interesting, and explain why the best is yet to come.