As one of the core members in implementing the Julia programming language, Keno Fischer shares the advantages of Julia, behind the scenes of creating a coding language, and his vision for the future.
As one of the core members in implementing the Julia programming language, Keno Fischer shares the advantages of Julia, behind the scenes of creating a coding language, and his vision for the future.
Keno Fischer is the cofounder of Julia Computing and a Forbes 30 Under 30 in Enterprise Technology. Julia is one of the fastest modern open-source languages for data science, machine learning and scientific computing; it has been downloaded over 2 million times and is taught at MIT, Stanford and in over 100 universities around the world.
Fischer got into contributing to the project when he was only in high school. He has since gone on to work on a variety of projects involving scientific simulation, data analysis, and representing the universe, including his role in Celeste, which was awarded the 2017 HPC Innovation Excellence Award for creating the first comprehensive catalog of visible objects in the universe.
Join us in hearing about Fischer’s story as he talks about lessons learned from creating his own programming language, the need for both usability and performance in a programming language, and the value of learning by trying and failing.
Listen along to Fischer’s incredible story in this week’s podcast—and more to come on Elevate the Future podcast—as we bring you stories from inspiring youth and innovators who have made their mark on the world.
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Guest
Keno Fischer, Co-Founder, Julia Computing (@KenoFischer on Twitter)
Host
Ellen Xu
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