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Julia Computing was founded in 2015 by all the creators of the Julia programming language with a mission to develop products that make Julia easy to use, easy to deploy and easy to scale.
Dr. Viral B. Shah
CEO
Deepak Vinchhi
COO
Prof. Alan Edelman (MIT)
Chief Scientist
Andrew Claster
Marketing & Communications
Dr. Jeff Bezanson
CTO (Language)
Stefan Karpinski
CTO (Finance)
Keno Fischer
CTO (Tools)
Avik Sengupta
VP of Engineering
Julia is an open-source language for high-performance technical computing and data science created by some of the best minds in mathematical and statistical computing.

Julia has quickly become the preferred programming language for data and analytics. Julia combines the functionality of quantitative environments such as R and Python with the speed of production programming languages like Java and C++ to solve big data and analytics problems. It delivers dramatic improvements in simplicity, speed, capacity, and productivity for data scientists, algorithmic traders, quants, scientists, and engineers who need to solve massive computation problems quickly and accurately.

Julia offers an unbeatable combination of simplicity plus speed that is thousands of times faster than other mathematical, scientific and statistical computing languages.

Partners and users include: IBM, Intel, DARPA, Lawrence Berkeley National Laboratory, National Energy Research Scientific Computing Center (NERSC), Federal Aviation Administration (FAA), MIT Lincoln Labs, Moore Foundation, Nobel Laureate Thomas J. Sargent, Federal Reserve Bank of New York (FRBNY), Brazilian National Development Bank (BNDES), BlackRock, Conning, Berkery Noyes, BestX and many of the world's largest investment banks, asset managers, fund managers, foreign exchange analysts, insurers, hedge funds and regulators.

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We provide products, training and consulting to make Julia easy to use, easy to deploy and easy to scale in your organization. Email us: [email protected]
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Julia Computing, Inc. was founded with a mission to make Julia easy to use, easy to deploy and easy to scale. We operate out of Boston, New York, London, Bangalore, San Francisco, Los Angeles and Washington DC and we serve customers worldwide.
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