Julia Computing

Julia Computing was founded in July 2015 by 6 co-founders - the 4 creators of the Julia programming language (Dr. Viral Shah, Prof. Alan Edelman, Dr. Jeff Bezanson, Stefan Karpinski) along with Deepak Vinchhi and Keno Fischer. Julia Computing's mission is to develop products that make Julia easy to use, easy to deploy and easy to scale.

Dr. Viral B. Shah

Co-founder and CEO

Deepak Vinchhi

Co-founder and COO

Jon Shepherd

VP of Sales

Andrew Claster

Director of Marketing & Communications

Prof. Alan Edelman

Co-founder and Chief Scientist

Dr. Jeff Bezanson

Co-founder and CTO (Language)

Stefan Karpinski

Co-founder and CTO (Open Source)

Keno Fischer

Co-founder and CTO (Tools)

Benn Stratton

Government Programs

Avik Sengupta

VP of Engineering

Dr. Andreas Noack

Director of Research

Dr. Matt Bauman

Senior Research Scientist

Jameson Nash

Mike Innes

Nishanth Kottary

Dr. Tim Besard

Dr. Patric Mogensen

Dr. Elliot Saba

Dhairya Gandhi

Deepak Suresh

Tanmay Mohapatra

Jerry Amaral

Sushil Kumar

Venkatesh Dayananda

Kristoffer Carlsson

Harsha B Mahesh

Pradeep Mudlapur

Sanjeeb Das Gupta

Santosh Mural

Shivaraj Anveri

Abhijith Chandraprabhu

Arunachalam E

The Julia Computing Family

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. Julia provides parallel and distributed computing capabilities out of the box, and literally infinite scalability with minimal effort. 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.