
Stacie Calad-Thomson | Building the self-driving lab: a roadmap to bigger data and better drugs | TPM podcast #62
14/10/2026
0:00
41:13
AI can propose a molecule or suggest the next experiment. But someone still has to run the experiment, check the result, and decide what to do with it. In this episode of Talking Precision Medicine, Rafael Rosengarten talks with Stacie Calad-Thomson, Global BD Lead for BioPharma Labs & Manufacturing at NVIDIA about connecting AI to the physical lab. They discuss why consistent experimental data matters, how agents and robotics could work together across a lab, and what scientists will do as more of that work becomes automated.
TPM E62 highlights >
Episode 62 links:
- NVIDIA AI for Healthcare and Life Sciences
- Thermo Fisher Scientific Announces Strategic Collaboration With NVIDIA Leveraging AI to Advance Scientific Instrumentation and Accelerate Laboratory Performance
- NVIDIA BioNeMo Platform Adopted by Life Sciences Leaders to Accelerate AI-Driven Drug Discovery
- The World’s Most Powerful AI Factory for Pharmaceutical Discovery and Development
- Benchling and HighRes: connecting experiment design to lab automation
- AAIH (The Alliance for Artificial Intelligence in Healthcare)
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