Newsletter February 2020 - Julia Computing Hosts 100+ Pharmaceutical Researchers for PumasAI and Pumas.jl Webinar

By JuliaHub | Feb 07, 2020

Julia Computing hosted a free one hour Webinar for 100+ pharmaceutical researchers to discuss pharmacology modeling using Pumas.jl. The Webinar was led by Vijay Ivaturi, Professor of Pharmacology at the University of Maryland School of Pharmacy who initiated and leads the Pumas project.

Julia Computing Webinars for Enterprise Users: Julia Computing provides free one-hour Webinars for enterprise users who want to learn more about Julia’s capabilities and case studies of successful Julia deployment in production.

Parallel Computing for Enterprises in Julia
Dr. Alan Edelman, MIT Professor of Applied Mathematics, Principal Investigator at MIT Julia Lab and MIT Computer Science and Artificial Intelligence Laboratory, co-creator of Julia, co-founder of Julia Computing
Tuesday February 18, 12 noon - 1 pm Eastern (US) Click here to register
Scientific Machine Learning for Enterprises in Julia
Dr. Chris Rackauckas, MIT Applied Mathematics Instructor and University of Maryland, Baltimore School of Pharmacy Senior Research Analyst
Tuesday February 25 12 noon - 1 pm Eastern (US) Click here to register
Pharmacology and Pharmacometrics in Julia with PumasAI and Pumas.jl
Dr. Vijay Ivaturi, University of Maryland, Baltimore School of Pharmacy Research Assistant Professor
Friday March 6 11:30 am - 12:30 pm GMT (12:30-1:30 pm CEST / 1:30-2:30 pm EEST / 5-6 pm IST) Click here to register


Julia Computing Live Online Training Courses: Julia Computing’s Dr. Matt Bauman leads three 8-hour live online training courses this month. Each course consists of two four hour training sessions. Click here to register today.

Introduction to Julia
Course Description
Part 1: Wed Feb 12 11 am - 3 pm (US EST)
Part 2: Thu Feb 13 11 am - 3 pm (US EST)
Click here to register
Introduction to Machine Learning and Artificial Intelligence in Julia
Course Description
Part 1: Wed Feb 19 11 am - 3 pm (US EST)
Part 2: Thu Feb 20 11 am - 3 pm (US EST)
Click here to register
Parallel Computing in Julia
Course Description
Part 1: Wed Feb 26 11 am - 3 pm (US EST)
Part 2: Thu Feb 27 11 am - 3 pm (US EST)
Click here to registe


Julia Computing on DM Radio: Julia co-creator and Julia Computing CEO Viral Shah joined DM Radio’s Eric Kavanagh to discuss Artificial Intelligence as the Great Enabler. Click here to listen.

MLSys 2020: Mike Innes (Julia Computing) will present Sense & Sensitivities: The Path to General-Purpose Algorithmic Differentiation at MLSys in Austin March 2-4. An older version is available here.

Julia Machine Learning Workshop Comes to Prague: Avik Sengupta (Julia Computing) and Kevin O’Brien (Coillte) will present a workshop on Machine Learning in Julia at Machine Learning Prague March 20-22.

Universal Differential Equations for Scientific Machine Learning: Chris Rackauckas et al. have submitted a paper on Universal Differential Equations for Scientific Machine Learning. They describe how universal differential equations “augment scientific models with machine-learnable structures for scientifically-based learning” and “how [universal differential equations] can be utilized to discover previously unknown governing equations, accurately extrapolate beyond the original data, and accelerate model simulation, all in a time and data-efficient manner.”

BioJulia Benchmarking: Jakob Nybo Nissen and Ben J. Ward conducted benchmarking analysis of BioJulia and Seq, a new language for bioinformatics.

JuliaCon 2020 Deadlines: JuliaCon 2020 will take place July 27-31 at ISCTE - Instituto Universitário de Lisboa (ISCTE-IUL) in Lisbon, Portugal.

  1. JuliaCon 2020 Call for Proposals: JuliaCon 2020 proposals are due March 7, 2020. Proposal types include talks, lightning talks, minisymposia, workshops, posters and ‘Birds of a Feather’ breakout sessions. Please review submission guidelines, prepare and submit your proposal no later than March 7, 2020. Mentorship is also available for new presenters.

  2. Financial Assistance to Attend JuliaCon 2020: If financial assistance will impact your ability to attend JuliaCon 2020, please apply no later than March 7, 2020.

  3. Early Bird Ticket Discount: Early Bird Tickets are available for purchase now through April 20, 2020. Please purchase your tickets early to take advantage of discounted pricing.

  4. JuliaCon 2020 Call for Volunteers: JuliaCon runs on volunteers! Please consider signing up to volunteer. JuliaCon volunteer opportunities include:

    • Mentors for new speakers

    • Proceedings reviewers

    • Talk submission reviewers

    • Financial assistance application reviewers

    • Local/onsite volunteers

  1. JuliaCon 2020 Sponsors: JuliaCon relies on the support of sponsors. Click here for more information about becoming a JuliaCon sponsor.

Julia Computing Enterprise Solutions: Contact Julia Computing for more information about putting Julia to work for your organization, deploying Julia more efficiently, effectively and at scale.

  • JuliaSure: JuliaSure provides enterprise support and indemnity for organizations using Julia.

  • JuliaTeam: JuliaTeam provides enterprise governance including private and package development, deployment, management, security, support and indemnity.

  • JuliaRun: JuliaRun allows you to scale Julia deployment from a single machine to dozens or hundreds of nodes in a public or private cloud environment, including AWS, Azure or Google Cloud.

JuliaBox 30 Day Free Trial: JuliaBox is now available with a 30 day free trial. JuliaBox is the fastest and easiest way to start using Julia right away with no download required. Register today to start your 30 day free trial.

JuliaBox Academic Discount: Hundreds of students and faculty at universities around the world use JuliaBox for classroom instruction and learning. Use free and open source materials to design your own course using Julia. JuliaBox starts at just $7 per month including a 50% academic discount. Sign up online or contact Julia Computing to take advantage of the academic discount or for more information.

Julia and Julia Computing in the News

  • HPCWire: Julia Programming’s Dramatic Rise in HPC and Elsewhere

  • CleanTechnica: Energy Efficiency Is A Core Target For Machine Learning

  • BuiltInChicago: An Engineering Leader Discusses the Best Programming Languages to Learn

  • IProgrammer: Python As Fast As Go and C++ The Queens Prove It

  • Analytics India: MLDS 2020 - AIM Wraps Up Bangalore Edition of India’s Biggest ML Developer Conference

  • Clare Herald: Clare and Mid-West Best for Tech and Biotech Job Offerings

  • Irish Tech News: Tech on the Wild Atlantic Way Thomond Park, Feb 1

  • Free Press Journal: 10th Aegis Graham Bell Awards Concluded the 2nd Jury Round

  • Yahoo: 10th Aegis Graham Bell Awards Concluded the 2nd Jury Round

  • HPCWire: Julia Computing Brings Machine Learning in Julia Workshop to Prague

Julia Blog Posts

Upcoming Julia Events

Recent Julia Events

Julia Jobs, Fellowships and Internships

Do you work at or know of an organization looking to hire Julia programmers as staff, research fellows or interns? Would your employer be interested in hiring interns to work on open source packages that are useful to their business? Help us connect members of our community to great opportunities by sending us an email, and we'll get the word out.

There are more than 300 Julia jobs currently listed on Indeed.com, including jobs at Accenture, Airbus, Amazon, AstraZeneca, AT&T, Barnes & Noble, BlackRock, Capital One, CBRE, Charles River Analytics, Citigroup, Comcast, Conde Nast, Cooper Tire & Rubber, Disney, Dow Jones, Facebook, Gallup, Genentech, General Electric, Google, Huawei, Ipsos, Johnson & Johnson, KPMG, Lockheed Martin, Match, McKinsey, NBCUniversal, Netflix, Nielsen, Novartis, OKCupid, Opendoor, Oracle, Pandora, Peapod, Pfizer, Raytheon, Spectrum, Wells Fargo, Zillow, Brown, BYU, Caltech, Dartmouth, Emory, Harvard, Johns Hopkins, Louisiana State University, Massachusetts General Hospital, MIT, Penn State, Princeton, UC Davis, University of Chicago, University of Delaware, University of Kentucky, UNC-Chapel Hill, USC, University of Virginia, Argonne National Laboratory, Federal Reserve Bank, Lawrence Berkeley National Laboratory, Los Alamos National Laboratory, National Renewable Energy Laboratory, Oak Ridge National Laboratory, Pacific Northwest National Laboratory, State of Wisconsin and many more.

Contact Us: Please contact us if you wish to:

  • Purchase or obtain license information for Julia products such as JuliaSure, JuliaTeam, or JuliaRun

  • Obtain pricing for Julia consulting projects for your organization

  • Schedule Julia training for your organization

  • Share information about exciting new Julia case studies or use cases

  • Spread the word about an upcoming conference, workshop, training, hackathon, meetup, talk or presentation involving Julia

  • Partner with Julia Computing to organize a Julia meetup, conference, workshop, training, hackathon, talk or presentation involving Julia

  • Submit a Julia internship, fellowship or job posting

About Julia and Julia Computing

Julia is the fastest high performance open source computing language for data, analytics, algorithmic trading, machine learning, artificial intelligence, and other scientific and numeric computing applications. Julia solves the two language problem by combining the ease of use of Python and R with the speed of C++. Julia provides parallel computing capabilities out of the box and unlimited scalability with minimal effort. Julia has been downloaded more than 13 million times and is used at more than 1,500 universities. Julia co-creators are the winners of the 2019 James H. Wilkinson Prize for Numerical Software and the 2019 Sidney Fernbach Award. Julia has run at petascale on 650,000 cores with 1.3 million threads to analyze over 56 terabytes of data using Cori, one of the ten largest and most powerful supercomputers in the world.

Julia Computing was founded in 2015 by all the creators of Julia to develop products and provide professional services to businesses and researchers using Julia.

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