Author Archives: Julia Computing, Inc.

Newsletter September 2019

Have you ever wondered:

  • How Julia developers decide what constitutes a major release, a minor release or a patch release?
  • How Julia developers think about an alpha release, a beta release and a release candidate?
  • What kind of long term support exists for different versions of Julia?

Stefan Karpinski has published a blog post on JuliaLang.org to help answer these questions.

The newest Julia releases are:

  • Julia v1.2.0: Current stable release
  • Julia v1.0.4: Long-term support release
  • Julia v1.3.0-rc1: Release candidate including multi-threaded parallelism

JuliaTeam and JuliaRun Available on Google Cloud Platform: Julia options on AWS, Azure and Google Cloud continue to expand. JuliaTeam is now available on AWS Marketplace and JuliaTeam and JuliaRun are available on Google Cloud Platform. Contact us for more information about JuliaTeam and JuliaRun.

How Computer Programming Is Changing Modern Life: The Society for Industrial and Applied Mathematics (SIAM) released a video featuring Julia co-creators Jeff Bezanson and Stefan Karpinski discussing how computer programming is changing modern life.

World Artificial Intelligence Conference (Shanghai): Viral Shah addressed the World Artificial Intelligence Conference, held in Shanghai Aug 29-31 with a discussion on “Julia: Generalizing Deep Learning with Differentiable Programming”.

Designing to the Limits – Algorithms for Peak Performance: Tim Wheeler and Mykel Kochendorfer, authors of Algorithms for Optimization, participated in a Center for Automotive Research at Stanford (CARS) Open Garage Talk moderated by Sebastian Thrun, founder of Google’s Self Driving Car Team. The talk is available on YouTube.

MIT Scientists Use Julia to Help Boston Public Schools Save $5 Million: MIT Operations Research Center scientists Dimitras Bertsimas, Sebastien Martin and Arthur Delarue used Julia to win first place in the 2017 Boston Public Schools Transportation Challenge. Their algorithm helped students sleep longer, reduced traffic and fuel emissions and saved Boston Public Schools $5 million.

JuliaSure: JuliaSure from Julia Computing provides enterprise Julia users with support and indemnity. Contact us for more information.

JuliaTeam: Julia Computing’s JuliaTeam solution works behind your firewall, enables enterprise governance and collaboration, including management of public and private packages and versions, licenses, indemnity and more. Contact us for more information.

Upcoming Julia Computing Events

Julia Computing will be participating in a number of upcoming conferences. Please contact us if you would like to meet with us at any of these events.

  1. Cambridge, MA: MIT Technology Review EmTech with Viral Shah (Julia Computing) at MIT Media Lab Sept 17-19
  2. New York: Strata Data Conference with Viral Shah, Stefan Karpinski, Jon Shepherd and Jerry Amaral (Julia Computing) Sept 23-26
  3. Orlando: American Conference on Pharmacometrics (ACoP10) with Viral Shah, Jon Shepherd and Andreas Noack (Julia Computing) Oct 20-23
  4. London: Open Data Science Conference (ODSC) with Avik Sengupta (Julia Computing) Nov 19-22

Live Online Instructor-Led Julia Training

Sign up now for live instructor-led online courses taught by Julia Computing instructors. Each course is 4 hours per day for two days, for a total of 8 hours of instruction per course.

Course Schedule Cost for 8 hours of live online instruction from Julia Computing instructors
Introduction to Machine Learning and Artificial Intelligence Using Julia Day 1: Wed Sept 11 from 11 am – 3 pm ET Day 2: Thurs Sept 12 from 11 am – 3 pm ET $500
Parallel Computing in Julia Day 1: Wed Sept 18 from 11 am – 3 pm ET Day 2: Thurs Sept 19 from 11 am – 3 pm ET $500
Register & Pay

Julia and Julia Computing in the News

  • Towards Data Science: Freeing the Data Scientist Mind from the Curse of VectoRization: Julia to the Rescue!
  • Data Science Central: Julia vs. R: Freeing the Data Scientist Mind from the Curse of VectoRization
  • Times of India: Techies Are Coming Together to Program a Geekier Nation
  • SD Times: Julia Programming Language Survey
  • SD Times: Julia 1.2 Released
  • DevClass: Julia 1.2 Gets Star for Special Interest Computations
  • Route Fifty: How One City Saved $5 Million by Routing School Buses with an Algorithm
  • CNBeta: TIOBE 8月排行：你说 Objective-C 将走向衰败 我不同意
  • Techzine: Julia Wint Aan Populariteit Over Python
  • Appinventiv: Introducing Julia – The Top Programming Language for Machine Learning Development
  • Zylotech: What Is All this Buzz About the Julia Programming Language?
  • JAXenter: Julia – The Programming Language of the Future?
  • ZDNet: Julia Programming Language – Users Reveal What They Love and Hate the Most About It
  • TechRepublic: Julia vs. Python – This Is Why the Fledgling Programming Language Is Winning New Fans
  • InsideBigData: Composable Multi-Threaded Parallelism in Julia
  • JAXenter: Julia v1.2.0: Technical Computing Gets Updated with New Library Functions
  • PacktHub: Julia Co-Creator, Jeff Bezanson, On What’s Wrong with Julialang and How to Tackle Issues Like Modularity and Extension
  • PacktHub: Julia v1.2 Releases with Support for Argument Splatting, Unicode 12, New Star Unary Operator, and More
  • PacktHub: The Julia Team Shares its Finalized Release Process with the Community
  • News Medical: UMB Startup Releases Cutting-Edge Software Platform for Pharmaceutical Researchers

Julia Blog Posts

Upcoming Julia Events

Recent Julia Events

Julia Meetup Groups: There are 37 Julia Meetup groups worldwide with 8,415 members. If there’s a Julia Meetup group in your area, we hope you will consider joining, participating and helping to organize events. If there isn’t, we hope you will consider starting one.

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, Mathematica, 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 JuliaAcademy, JuliaTeam, or JuliaPro
  • 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 9 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. 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.

Newsletter August 2019

JuliaCon 2019: JuliaCon 2019, held July 22-26 at the University of Maryland, Baltimore, was the biggest and best JuliaCon to date.

The Unreasonable Effectiveness of Multiple Dispatch: Stefan Karpinski’s JuliaCon presentation on The Unreasonable Effectiveness of Multiple Dispatch is available on YouTube.

Julia Computing JuliaCon Product Presentation: Stefan Karpinski delivered the Julia Computing JuliaCon sponsor presentation describing Julia Computing’s products: JuliaSure, JuliaTeam, JuliaRun, JuliaPro and JuliaAcademy.

Composable Multi-Threaded Parallelism in Julia: Jeff Bezanson and Jameson Nash (Julia Computing) presented composable multi-threaded parallelism in Julia at JuliaCon. More information is available in this blog post in English and Chinese.

Julia User and Developer Survey Presentation: Viral Shah presented the results of the first annual Julia User and Developer Survey at JuliaCon. The results are also available on the JuliaLang blog.

All of the JuliaCon 2019 presentations are available on YouTube including:

Upcoming Julia Computing Events

Julia Computing will be participating in a number of upcoming conferences. Please contact us if you would like to meet with us at any of these events.

  1. New York: Strata Data Conference Sept 23-26 with Viral Shah, Stefan Karpinski, Jon Shepherd and Jerry Amaral (Julia Computing)
  2. Orlando: American Conference on Pharmacometrics (ACoP10) with Viral Shah, Jon Shepherd and Andreas Noack (Julia Computing) Oct 20-23
  3. London: Open Data Science Conference (ODSC) with Avik Sengupta (Julia Computing) Nov 19-22

Live Online Instructor-Led Julia Training

Sign up now for live instructor-led online courses taught by Julia Computing instructors. Each course is 4 hours per day for two days, for a total of 8 hours of instruction per course.

Course Schedule Cost for 8 hours of live online instruction from Julia Computing instructors
Introduction to Julia Day 1: Wed Sept 4 from 11 am – 3 pm ET Day 2: Thurs Sept 5 from 11 am – 3 pm ET $250
Introduction to Machine Learning and Artificial Intelligence Using Julia Day 1: Wed Sept 11 from 11 am – 3 pm ET Day 2: Thurs Sept 12 from 11 am – 3 pm ET $500
Parallel Computing in Julia Day 1: Wed Sept 18 from 11 am – 3 pm ET Day 2: Thurs Sept 19 from 11 am – 3 pm ET $500
Register & Pay

Technology Partnerz – Julia Wins Monte Carlo Benchmarking Evaluation: Technology Partnerz is a management consulting and technology firm specializing in predictive analytics. They benchmarked Julia, R, Excel, Oracle Crystal Ball and @Risk and declared Julia the overwhelming winner:

“And the winner is…. Julia! Julia is the fastest on all dimensions (including development time for coded solutions), period! … Julia is more than 2x faster than R and between 750 to 1500x faster than Excel simulation… Notwithstanding how much faster it may be to derive a one-off answer in Excel, if your goal is to develop a fast, reusable model in a clear and easy to use programming language, than the outcome is pretty much set in Julia’s favor… Julia handles both vector math and looped structures with ease, making it a more forgiving and intuitive to learn. As for Julia, even though I started picking it up for this study, I have been looking at code snippets for years and each time it left me with the feeling ‘Hey. I can do this also!’ That feeling was well founded because within a few weeks in my off-time I was completely productive in Julia.”

Pumas-AI Launches Pumas Software to Advance Drug Development and Patient Care: Pumas-AI is a new company established by University of Maryland School of Pharmacy faculty members Vijay Ivaturi and Joga Gobburu to advance drug development and patient care. Pumas-AI announced the release of Pumas (Pharmaceutical Modeling and Simulation), its first cutting-edge software platform for pharmaceutical researchers, developed together with Chris Rackauckas (MIT, Julia Computing) and Joakim Nyberg (Uppsala). More information is available here and from Technical.ly.

Julia – Come for the Syntax, Stay for the Speed: Nature published an excellent summary article about some of the latest highlights, developments and applications of Julia.

Julia Enters Twitter Controversy via New York Daily News: Alan Edelman (Julia Computing, MIT) discussed Julia, mathematics and addressed the Twitter controversy over the mathematical order of operations in the New York Daily News.

Zygote – A Differentiable Programming System to Bridge Machine Learning and Scientific Computing: Julia Computing’s Mike Innes, Alan Edelman, Keno Fischer, Chris Rackauckas, Elliot Saba and Viral Shah and Will Tebbutt (University of Cambridge) published a paper about differentiable programming using Julia’s Zygote. More information is available in Synced. The Hacker News comments are available here.

Mozilla Is Funding Development to Bring Julia to Firefox: Mozilla is providing funding to Valentin Churavy and the Julia Lab at MIT to bring Julia to Firefox. More information is available here in English, German, Polish, French, Chinese and Swedish.

Julia Computing Products – JuliaSure, JuliaTeam, JuliaRun, JuliaPro and JuliaAcademy: Are you facing challenges getting Julia to work for your organization? Contact the Julia Computing sales team to learn more about our solutions. There is no question related to Julia that our team can’t answer.

JuliaSure: JuliaSure features support and indemnification for your enterprise. Contact Julia Computing for more information and pricing.

JuliaTeam: JuliaTeam from Julia Computing enables enterprise governance, making it easy and safe to install Julia packages within your firewall, help administrators keep track of what packages and versions are in use and ensure that all your external dependencies are secure and up-to-date.

JuliaTeam enables you to:

  • Read and search docs for all internal and external packages in a single place
  • Create and manage private package registries
  • Publish and test private packages as easily as public ones, making sure new versions work seamlessly with all the other versions of packages that your teams are using
  • Benchmark your code to make sure it runs as efficiently as possible and stays fast
  • Download a summary of licenses of all the software you depend on

For more information, contact Julia Computing.

JuliaAcademy: Julia Computing’s training offerings continue to expand. JuliaAcademy is the Julia Computing training platform for 3 types of learning: self-directed, online instructor-led and in-person onsite training.

JuliaAcademy courses include: Intro to Julia, Machine Learning and Artificial Intelligence in Julia, Parallel Computing in Julia, Deep Learning with Flux, Optimization with JuMP and Machine Learning with Knet.

JuliaAcademy provides:

  1. Self-directed training – all online, learn at your own pace
  2. Instructor-led online training – live two-day courses taught by Julia Computing instructors
  3. In-person training – contact us at info@juliacomputing.com to schedule customized in-person training for your organization

Julia and Julia Computing in the News

  • JAXenter: Julia Takes a Page from Go, Adds Composable Multi-Threading Feature
  • PacktPub: Julia Announces the Preview of Multi-Threaded Task Parallelism in Alpha Release v1.3.0
  • PacktPub: Mozilla Is Funding a Project for Bringing Julia to Firefox and the General Browser Environment
  • Technical.ly: JuliaCon is the Stage for a Week of Programming Talks — and a New Baltimore Company
  • Synced: Julia Computing & MIT Introduce Differentiable Programming System Bridging AI and Science
  • Nature: Julia – Come for the Syntax, Stay for the Speed
  • Technology Partnerz: The Need for Speed 2019 – Comparing Simulation Performance for Crystal Ball, R, Julia and @Risk
  • New York Daily News: Poorly Constructed Math Equation Prompts Twitter Debate – Can You Solve It?
  • ZDNet: Mozilla Is Funding a Way to Support Julia in Firefox
  • Heise: Programmiersprachen: Mozilla Fördert Integration von Julia in den Browser
  • Techworld: Mozilla Firefox Får Stöd För Språket Julia
  • IT Magazine: Firefox Integriert Programmiersprache Julia
  • Nvidia: Spotting Clouds on the Horizon: AI Resolves Uncertainties in Climate Projections
  • PC World: Mozilla Chce Wprowadzić Język Julia Do Firefoxa
  • Developpez: Mozilla Finance un Portage de Julia en WebAssembly
  • CoderCTO: IT资讯 继 Python 解释器移植到 Firefox 后，Mozilla 现在想支持 Julia 和 R
  • Sclate: Programming Languages – Mozilla Promotes the Integration of Julia into the Browser

  • HPCWire: Pumas-AI Launches Pumas Software to Advance Drug Development, Patient Care

  • CNBeta: Mozilla 资助将 Julia 语言带到 Firefox 上
  • CNBeta: Julia Computing 和 MIT 引入可微编程系统 连接人工智能和科学计算
  • TechCentral: Julia vs Python: Which Is Best for Data Science?
  • InfoWorld: Julia vs Python: Which Is Best for Data Science?
  • TechRepublic: JavaScript Borrows Clean Code Feature from F# and Julia Programming Languages in New Babel Release
  • University of Maryland: Researchers’ Company Launches Drug Development Software
  • Inside Big Data: Pumas-AI Launches Julia Language-Based Software to Advance Drug Development, Patient Care
  • Quartz: What R’s Most Popular Tools Say About the State of Data Science
  • DevClass: Mozilla Research Grants
  • Express Computer: New Programming System Developed For AI Applications
  • CIO: 3 Cursos Online para Aprender a Linguagem de Programação Julia
  • CIO: Julia vs. Python: Qual é a Melhor para a Ciência de Dados?
  • HPCWire: Spotting Clouds on the Horizon – AI Resolves Uncertainties in Climate Projections
  • OmniSci: Announcing OmniSci.jl – A Julia Client for OmniSci
  • Mozilla: Mozilla’s Latest Research Grants
  • Big Data Insider: Was Ist XGBoost?
  • Baltimore Business Journal: Faculty at University of Maryland School of Pharmacy Launch Software for Drug Development, Patient Care

Julia Blog Posts

Upcoming Julia Events

Recent Julia Events

Julia Meetup Groups: There are 36 Julia Meetup groups worldwide with 8,326 members. If there’s a Julia Meetup group in your area, we hope you will consider joining, participating and helping to organize events. If there isn’t, we hope you will consider starting one.

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, Mathematica, 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 JuliaAcademy, JuliaTeam, or JuliaPro
  • 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 eff i8ort. Julia has been downloaded more than 9 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. 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.

Pumas-AI Launches Pumas Software to Advance Drug Development, Patient Care

Baltimore, MD – Pumas-AI – a new company established
by University of Maryland School of Pharmacy faculty members Vijay
Ivaturi, PhD, assistant professor in the Department of Pharmacy
Practice and Science
(PPS), and Joga
Gobburu, PhD, MBA, professor in PPS – is proud to announce the release
of its first cutting-edge software platform for pharmaceutical
researchers and clinicians. Known as Pharmaceutical Modeling and
Simulation (Pumas), the software was developed through a partnership
with experts at Julia Computing. Research and software development
efforts were led by Christopher Rackauckas, PhD, senior research analyst
in PPS, with input from independent contributor Joakim Nyberg, PhD, from
Uppsala, Sweden.

“The success rate for pharmaceutical innovations is approximately two
percent,” says Gobburu, who also serves as executive director of
the Center for Translational Medicine
(CTM) at the School of Pharmacy. “Pumas
software is tailored to revolutionize big data analytics in health care,
unlike those tools used in other fields. By combining the extensive
health care knowledge of our faculty and staff with the scientific
computing experts at Julia Computing, we have developed a tool that will
not only benefit business leaders working in the pharmaceutical
industry, but also those who are caring for patients on the frontline of
health care delivery.”

Pumas is the first software platform released by Pumas-AI, whose goal is
to double pharmaceutical and patient care success rates by democratizing
tools and education in the health care data analytics space. The Pumas
software platform provides a wide range of analytic capabilities for
pharmaceutical and biotechnology development, as well as therapeutic
decision making – addressing a crucial need for pharmaceutical companies
and investors, who often base their decisions on a combination of
technical, regulatory, and commercial success probabilities, all of
which the Pumas software can provide quantitatively.

“Pumas is our company’s first product specifically designed for
professionals in the pharmaceutical and health delivery sectors to
bridge this gap,” adds Gobburu. “It leverages the Julia programming
language, and combines modern artificial intelligence (AI) with
traditional mechanistic models, allowing the CTM to foster one of its
goals of enhancing real-world data (RWD) analytics through its newly
formed Health Analytics Collective (HAC).”

A comprehensive platform based on the Julia programming language, Pumas
contains multiple modules designed to meet the needs of analysts in the
pharmaceutical industry, while also working to advance therapeutic
innovation in the clinic setting. Julia was selected for its speed and
succinctness as a programming language, which produces an interface that
looks similar to R, but operates at the speed of FORTRAN. Because Pumas
is created entirely in Julia, users can make direct use of the
language’s database, statistics, and visualization functionality – all
without losing performance.

In addition, Julia is the programming language of choice for prominent
researchers at institutions such as the Massachusetts Institute of
Technology (MIT) who work on projects at the cutting-edge of machine
learning, as well as in differential equations research, which means
that, unlike many other tools, Pumas has the unique ability to directly
incorporate modern techniques to achieve maximal efficiency and
accuracy.

“Pumas is the first pharmaceutical modeling suite that is designed from
the ground up to use modern graphics processing unit (GPU) hardware,
parallelized stiff differential equation solvers, and allow for the
integration of machine learning with pharmacometrics,” says Rackauckas.
“We are excited to not only accelerate current workflows, but also help
users explore the new, realistic models that are enabled by this
technology.”

Pumas will be the topic of a workshop at JuliaCon
2019, the year’s biggest Julia conference
for developers, enthusiasts, and others. JuliaCon will be held at the
University of Maryland, Baltimore in Baltimore, Md., from July 23 to 26,
2019, including a full day of preconference workshops scheduled for July
22.

A preconference workshop hosted by the CTM that day will highlight the
Pumas software platform.

“At the CTM, we strive to develop point-of-care solutions for providers
and clinicians that can help individualize treatment for patients,” says
Ivaturi, who also serves as a pharmacometrician in the CTM at the
School. “The Pumas software platform will be instrumental in helping us
optimize treatments for a number of conditions and therapeutics.”

He adds, “It is going to revolutionize therapeutic decision making and
allow health care organizations to benefit from payor incentives by
demonstrating substantial improvements to successful patient care.”

Researchers and clinicians can learn more about Pumas
at www.pumas.ai.

About Pumas-AI

Pumas-AI was established by University of
Maryland School of Pharmacy faculty members: Vijay Ivaturi, PhD,
assistant professor in PPS, and Joga Gobburu, PhD, MBA, professor in PPS
and executive director of the Center for Translational Medicine at the
School. Pumas-AI’s vision is to double pharmaceutical and patient care
success by democratizing tools and education in the health care data
analytics space. Pumas is its first product developed to provide
analytic capabilities for drug/biotech development and therapeutic
decision making.  It leverages the power of the Julia programming
language to combine modern AI with traditional mechanistic models to
gain massive computational efficiency.

About Center for Translational Medicine

Established in 2011, the Center for Translational Medicine
(CTM) analyzes and summarizes data from
experiments and clinical trials using quantitative disease, drug, and
trial models, with the goal of reducing the time it takes to bring a
drug to market. Its quantitative models, along with state-of-the-art
development techniques – such as adaptive and enrichment trials – are
integrated into tools that drug developers, regulatory agencies, and
other research organizations can use to guide decisions pertaining to
“go/no-go”, dosage, patient population, design, endpoint, analyses, and
therapeutics choices.

About the University of Maryland School of Pharmacy

 Established in 1841, the University of Maryland School of
Pharmacy is ranked as one of the
top 10 schools of pharmacy in the United States. It is a thriving center
for professional and graduate education, pharmaceutical care, research,
and community service. It creates the future of pharmacy by pioneering
new roles for pharmacists in advanced clinical practice and conducting
cutting-edge research in drug discovery and development, comparative
effectiveness and patient-centered outcomes, and disease management.
Faculty inspire excellence in more than 800 students, residents, and
postdoctoral fellows through a contemporary curriculum, innovative
educational experiences, and strategic professional relationships.

About Julia Computing

Julia Computing was founded by the
creators of Julia. Julia is an open-source language for high-performance
scientific computing, data science, and AI developed by a community that
consists of some of the best people in these fields. It solves the long
standing two-language problem by combining the simplicity and ease of
use of dynamic languages such as Python and R with the performance of
statically typed languages such as C++ – for which its creators were
awarded the 2019 James H. Wilkinson Prize for Numerical Software. Julia
is now taught and used for research at hundreds of universities
worldwide, including MIT, Stanford, UC Berkeley and Cornell to name a
few. Julia Computing’s mission is to develop products that make Julia
easy to use, easy to deploy and easy to scale. It does so through a
suite of products – JuliaSure, JuliaTeam and JuliaPro, which are used by
hundreds of enterprises and universities worldwide. For new users of
Julia, live and online trainings are offered through JuliaAcademy.

About Health Analytics Collective

The Health Analytics
Collective is a group
founded by the CTM, MIT, Julia Computing, and MMS Holdings that plans to
use Pumas as part of an end-to-end solution for data science and real
world evidence analytics, allowing for the ingestion, transformation,
and analysis of all data in one system. The group aims to leverage
real-world evidence, observational data that are generated during
routine clinical practice, and patient health care databases to augment
label claims and/or support new drug applications with leading-edge
software and algorithms and a
depth of regulatory and clinical experience.