Rebekah Greenwood

University of British Columbia

Papers

1

Total Citations

10

H-Index

1

About

Rebekah Greenwood is a pioneering researcher at the forefront of automated scientific discovery, specializing in self-driving laboratories (SDLs), robotics integration, and interoperable software infrastructure. Her most impactful contribution is the development of IvoryOS, a groundbreaking web interface that orchestrates Python-based SDLs, enabling seamless communication between diverse robotic and AI systems. This work, published in 2025 and already garnering 10 citations, addresses a critical bottleneck in the field: the lack of standardized software that limits the adoption and transferability of autonomous experimentation platforms. By creating an interoperable framework, Greenwood has empowered researchers to scale and share SDL workflows across laboratories, accelerating the pace of discovery in materials science, chemistry, and beyond. Her achievements demonstrate a keen ability to bridge the gap between hardware automation and software usability, making complex autonomous systems accessible to a broader scientific community. With her innovative approach, Greenwood is shaping the future of AI-driven experimentation, positioning herself as a key figure in the next generation of scientific infrastructure.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
IvoryOS: an interoperable web interface for orchestrating Python-based self-driving laboratories
10 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: University of British Columbia

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago