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.

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.

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

5. 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

• On the Performance and Design of BioSequences Compared to the Seq Language (Jakob Nybo Nissen and Ben J. Ward)

• Differentiating the Discrete: Automatic Differentiation Meets Integer Optimization (Mathieu Besançon)

• Constraint Solver: Support for Linear Objectives (Ole Kröger)

• Constraint Solver: Dealing with Real Coefficients! (Ole Kröger)

• Constraint Solver: How to Use JuMP for Your Own Solver? (Ole Kröger)

• How To Train Interpretable Neural Networks That Accurately Extrapolate From Small Data(Chris Rackauckas)

• Sharp Data Science (Matt Roughan)

• Kaggle Santa 2019: Final Wrap Up (Ole Kröger)

• Extracting Dominant Colours from Pictures(Lázaro Alonso)

Upcoming Julia Events

• Munich: Kickoff with Julia User Group Munich Feb 5

• Vienna: Testing & CI for Julia + VScode/Emacs/Vim Tips &Trickswith Rene Donner, Martin Trapp and Vienna Julia Meetup Feb 5

• Boulder: Julia Meetup with Boulder Data Science, Machine Learning and AI Feb 6

• Online: Introduction to Julia with Dr. Matt Bauman (Julia Computing) Feb 12-13

• Vancouver: Kickoff with Tooling with Christian Weilbach and Programming in Julia Feb 13

• Barcelona: February Julia Get-Together with Adrian Salceanu Feb 18

• Online: Introduction to Machine Learning and Artificial Intelligence in Julia with Dr. Matt Bauman (Julia Computing) Feb 19-20

• Palma de Mallorca: Julia for Non-Coders with Julia Mallorca Feb 21

• Online: Introduction to Machine Learning and Artificial Intelligence in Julia with Dr. Matt Bauman (Julia Computing) Feb 19-20

• Online: Scientific Machine Learning Webinar with Chris Rackauckas Feb 25

• Warsaw: O Pakietach w Języku Julia i Zarządzaniu Binarnymi Dependencjami with Przemyslaw Szufel and Bogumił Kamiński Feb 26

• Austin: MLSys with Mike Innes (Julia Computing) March 2-4

• Online: Pharmacology and Pharmacometrics Webinar using Pumas with Vijay Ivaturi March 6

• Prague: Machine Learning in Julia with Avik Sengupta (Julia Computing) and Kevin O’Brien (Coillte) at Machine Learning Prague March 20

• Ljubljana: Population Approach Group in Europe (PAGE) with Andreas Noack and Patrick Modensen (Julia Computing) June 9-12

• Louvain-la-Neuve, Belgium: 4th Annual JuMP-dev Workshop June 15-17

• Lisbon: JuliaCon 2020 at the ISCTE – Instituto Universitário de Lisboa July 27-31

Recent Julia Events

• San Francisco: Talk Julia over Brunch in SF at The Cavalier with Bay Area Julia Users Jan 11

• Berlin: Meet-Up and Co-Working Day with Julia Users Group at TU Berlin Jan 14

• Warsaw: System Typów w Języku Julia with Bogumił Kamiński and Warszawskie Forum Julia Jan 14

• Washington DC: Introduction to the Julia Language with José Bayoán Santiago Calderón and Washington DC Greater Metro Area Julia Language Group Jan 16

• Vienna: Testing & CI for Julia + Emacs/VScode Tips & Tricks with Reneé Donner Jan 20

• Seattle: Applied and Computational Mathematical Sciences Talk with Elliot Saba (Julia Computing) at University of Washington Jan 21

• Bangalore: Machine Learning Developers Summit with Viral Shah (Julia Computing) Jan 22-23

• Bangalore: Julia Language Talk with Viral Shah (Julia Computing) at Infosys Jan 23

• Cambridge, MA: Open Julia Users Night with Jameson Nash, Jeff Bezanson (Julia Computing) and Cambridge Area Julia User Network (CAJUN) Jan 23

• Cambridge, MA: Harvard College in Asia Program Conference with Keno Fischer (Julia Computing) Jan 23

• Cambridge, UK: Cambridge 3 – DrWatson.jl – The Perfect Sidekick to Your Scientific Enquiries with Lyndon White and All England Julia User Group Jan 23

• Online: Julia Computing Pharma Webinar with Vijay Ivaturi Jan 24

• Cambridge, MA: Modeling & Simulation in Drug Development with Dr. Nagendra Chemuturi Jan 27

• Freiburg: Julia’s Type System with Konstantinos Michailidis and Julia User Group Freiburg Jan 28

• Minneapolis: Julia User Group Social at Surly with Jordan Kunde-Wright and Twin Cities Julia User Group Jan 30

• Limerick: Julia Computing Goes Wild with Career Zoo’s ‘Tech on the Wild Atlantic Way’ with Avik Sengupta (Julia Computing) and Career Zoo Feb 1

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.