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JuliaHub for Pharma Part 2: Interactive Workflows with Pumas, NONMEM, and RStudio

Written by JuliaHub | May 29, 2025

Modern pharmaceutical research demands more than just accurate models—it needs speed, reproducibility, and scalable computing.

Join us for a live session exploring how JuliaHub, the enterprise platform for scientific computing in Julia, is transforming pharma R&D. Learn how pharma teams are using JuliaHub to:

  • Rapidly develop, simulate, and iterate on models
  • Transition seamlessly from interactive workflows to scalable batch production
  • Ensure compliance, reproducibility, and performance across teams

We’ll walk through real-world pharmaceutical use cases using Julia-based tools like PumasAI and demonstrate how JuliaHub fits into your enterprise workflow—powering everything from clinical pharmacology to systems biology and beyond.

This session is perfect for pharma professionals, modelers, and data scientists looking to unlock new levels of performance and productivity in their workflows.

Part 1 (May 6 | 1:00 PM ET)
Watch the recorded session here

Part 2 (June 11 | 1:00 PM ET)

JuliaHub basics

     -Unified code repositories
     -Unified data store
     -Unified compute interface
             -Jobs
            -Applications

Interactive Demonstrations

     -Pumas
     -NONMEM
     -RStudio
     -Lixoft & Certara


Reproducibility with Batch jobs

      -Pumas
      -NONMEM