Graham Keenan
Papers
11
Total Citations
1,593
H-Index
10
About
Graham Keenan is a pioneering researcher at the intersection of robotics, artificial intelligence, and chemical synthesis, whose work has fundamentally transformed how complex molecules and materials are discovered and produced. His most celebrated contribution — the development of a modular robotic system driven by a chemical programming language (2018, 640 citations) — established a landmark framework for automating organic synthesis by translating manual laboratory procedures into discrete, machine-executable operations. Building on this foundation, Keenan created the ChemPU, a universal architecture enabling robots to directly interpret and execute chemical synthesis literature through natural language processing (2020, 271 citations). Keenan's research extends powerfully into nanomaterials discovery, where he has deployed AI-driven autonomous robots capable of exploring, optimizing, and even evolutionarily refining nanostructures such as shape-programmable gold nanoparticles (2020, 158 citations; 2022, 179 citations). His work on networked chemical robots and machine learning-guided formulation optimization further demonstrates his commitment to making chemistry smarter and more interconnected. Perhaps most ambitiously, his robotic prebiotic chemist probes the origins of life itself through long-term automated experiments. With over 1,500 cumulative citations, Keenan's research is reshaping the future of automated scientific discovery.
Research Focus
Key Achievements
Top Papers
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- 7Networking chemical robots for reaction multitasking76 citations · 2018
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