Eric S. Larsen

Papers

Total Citations

H-Index

About

Eric S. Larsen is a leading figure in the emerging field of automated chemical discovery, where his work bridges robotics, data science, and synthetic chemistry. His primary research focuses on the high-throughput exploration of chemical reaction hyperspaces—the vast, multidimensional landscapes of reaction conditions that are impractical for human chemists to navigate. Larsen’s major contribution lies in developing robot-assisted platforms that can systematically map these complex networks, enabling the rapid identification of optimal reaction outcomes and the discovery of unexpected chemical transformations. His most-cited work, "Robot-assisted mapping of chemical reaction hyperspaces and networks" (2025, 9 citations), exemplifies this approach, demonstrating how automation can overcome the limitations of traditional trial-and-error methods. By integrating machine learning with autonomous experimentation, Larsen is reshaping how chemists design and optimize reactions, accelerating the pace of discovery in fields from pharmaceuticals to materials science. His achievements have positioned him at the forefront of a paradigm shift toward data-driven, automated synthesis, making him a key innovator for students and researchers interested in the future of chemical research.