Researchers working with sensitive data often face long setup times, poor data access, and strict compliance hurdles. Azure Trusted Research Environment (TRE) is designed to solve these issues with secure, governed, and collaborative infrastructure.

In this session, we follow two real-world personas - Emma, a beer-loving clinical researcher, and Dr. Hasi, a waffle-loving physician - as they navigate common roadblocks in data-driven healthcare research. See how Azure TRE transforms their workflows through self-service deployments, secure data pipelines, and traceable collaboration across institutions.

We’ll deep dive into:

🔷 TRE’s modular architecture and components (Airlock, shared services, workspaces)
🔷 Deployment insights, extension tips, and governance integration
🔷 Real-world implementation highlights from UZ Brussels
🔷 Practical challenges: cost control, networking, and compliance constraints

Whether you're a data engineer, architect, or analyst working with sensitive or regulated data, this session offers a practical look at how TRE can support secure and reproducible research, with real lessons from the field.