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) |
Part 2 (Date: TBD) |
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JuliaHub basics
-Unified code repositories
-Unified data store
-Unified compute interface
-Jobs
-Applications
Interactive Demonstrations
-Pumas
-NONMEM
-RStudio
-Lixoft & Certara
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Reproducibility with Batch jobs
-Pumas
-NONMEM
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