Gary Tom
Papers
1
Total Citations
23
H-Index
1
About
Gary Tom is a leading researcher at the intersection of artificial intelligence and autonomous experimentation, best known for his pioneering work on self-driving laboratories (SDLs). His most-cited paper, "Atlas: a brain for self-driving laboratories" (2025, 23 citations), introduces a foundational framework that integrates AI, robotics, and high-performance computing to enable closed-loop, autonomous research and development. This work has quickly become a touchstone in the field, demonstrating how intelligent systems can accelerate scientific discovery by autonomously designing, executing, and learning from experiments. Tom’s contributions are reshaping how researchers approach materials and chemical synthesis, offering a scalable blueprint for next-generation labs that operate with minimal human intervention. His impact, though early in his career, is already evident in the rapid adoption of his ideas across disciplines. By bridging machine learning with experimental automation, Tom is helping to usher in a new era of data-driven science, where the pace of discovery is no longer limited by manual trial and error.
Research Focus
Key Achievements
Top Papers
- 1Atlas: a brain for self-driving laboratories23 citations · 2025