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Forbes Names Julia Computing Co-Founder Keno Fischer to ‘30 Under 30’ List

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Forbes Names Julia Computing Co-Founder Keno Fischer to ‘30 Under 30’ List

Forbes Names Julia Computing Co-Founder Keno Fischer to ‘30 Under 30’ List

Forbes Names Julia Computing Co-Founder Keno Fischer to ‘30 Under 30’ List

Date Published

Nov 19, 2019

Nov 19, 2019

Contributors

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Date Published

Nov 19, 2019

Contributors

Share

Cambridge, MA – Forbes has named Julia Computing Co-Founder and Chief Technology Officer Keno Fischer to its prestigious ‘30 Under 30’ list of young leaders in enterprise technology.

The Forbes ‘30 Under 30’ list recognizes 30 extraordinary individuals under the age of 30 for their accomplishments.

Keno Fischer began contributing to Julia when the language was first released in 2012. At the time, Keno was a 16 year-old high school student. Keno is a native of Hösel, Germany who co-founded Julia Computing in 2015 and graduated from Harvard University in 2016.

According to Viral Shah, CEO of Julia Computing, "Keno’s contributions are fundamental to Julia’s growth and development. Keno started contributing to Julia in high school when he led the Julia port to Windows. Keno also led Julia Computing’s efforts on Celeste, which is the first petascale application in a dynamic computing language, and Google.ai lead Jeff Dean recognized Keno’s work porting Julia to Google Cloud Tensor Processing Units (TPUs) for artificial intelligence and machine learning. Keno is only 23 years old and he is just getting started!"

About Julia and Julia Computing

  • Julia is free and open source with a large and growing community of more than 800 contributors, 2 million downloads, 1,900 packages, 41 thousand GitHub stars (cumulative for Julia language and Julia packages) and +101% annual download growth

  • Julia combines the high-level productivity and ease of use of Python and R with the lightning-fast speed of C++

  • Julia users, partners and employers hiring Julia programmers include Amazon, Apple, BlackRock, Booz Allen Hamilton, Capital One, Comcast, Disney, Ernst & Young, Facebook, Federal Aviation Administration, Federal Reserve Bank of New York, Ford, Google, IBM, Intel, KPMG, Microsoft, NASA, Netflix, Oracle, PwC and Uber

  • Julia is used at more than 1,500 universities, research laboratories and research institutions worldwide including Harvard, MIT, UC Berkeley, Stanford, University of Chicago, Caltech, Carnegie Mellon, Cambridge, Oxford, Lawrence Berkeley National Laboratory, Oak Ridge National Laboratory, Los Alamos National Laboratory, National Energy Research Scientific Computing Center, Lawrence Livermore National Laboratory, Alan Turing Institute, Max Planck Institute, National Renewable Energy Laboratory, Argonne National Laboratory, Ames Laboratory and Barts Cancer Institute

  • Julia is the only high-level dynamic language that has run at petascale

  • Julia leveraged 650,000 cores and 1.3 million threads on 9,300 Knights Landing (KNL) nodes to catalog 188 million astronomical objects in just 14.6 minutes using the world’s sixth most powerful supercomputer

  • Julia provides speed and performance improvements of 1,000x or more for applications such as insurance risk modeling and astronomical image analysis

  • Julia delivers vast improvements in speed and performance on a wide range of architectures from a single laptop to the world’s sixth most powerful supercomputer, and from one node to thousands of nodes including multithreading, GPU and parallel computing capabilities

  • Julia powers the Federal Aviation Administration’s NextGen Aircraft Collision Avoidance System (ACAS-X)BlackRock’s trademarket Aladdin analytics platform and the New York Federal Reserve Bank’s Dynamic Stochastic General Equilibrium (DSGE) macroeconomic model

  • Julia Computing was founded in 2015 by all of the co-creators of Julia to provide Julia users with Julia products, Julia training, and Julia support. Julia Computing is headquartered in Boston with offices in London and Bangalore

Authors

JuliaHub, formerly Julia Computing, was founded in 2015 by the four co-creators of Julia (Dr. Viral Shah, Prof. Alan Edelman, Dr. Jeff Bezanson and Stefan Karpinski) together with Deepak Vinchhi and Keno Fischer. Julia is the fastest and easiest high productivity language for scientific computing. Julia is used by over 10,000 companies and over 1,500 universities. Julia’s creators won the prestigious James H. Wilkinson Prize for Numerical Software and the Sidney Fernbach Award.

Authors

JuliaHub, formerly Julia Computing, was founded in 2015 by the four co-creators of Julia (Dr. Viral Shah, Prof. Alan Edelman, Dr. Jeff Bezanson and Stefan Karpinski) together with Deepak Vinchhi and Keno Fischer. Julia is the fastest and easiest high productivity language for scientific computing. Julia is used by over 10,000 companies and over 1,500 universities. Julia’s creators won the prestigious James H. Wilkinson Prize for Numerical Software and the Sidney Fernbach Award.

Authors

JuliaHub, formerly Julia Computing, was founded in 2015 by the four co-creators of Julia (Dr. Viral Shah, Prof. Alan Edelman, Dr. Jeff Bezanson and Stefan Karpinski) together with Deepak Vinchhi and Keno Fischer. Julia is the fastest and easiest high productivity language for scientific computing. Julia is used by over 10,000 companies and over 1,500 universities. Julia’s creators won the prestigious James H. Wilkinson Prize for Numerical Software and the Sidney Fernbach Award.

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