Choon‐Hong Tan

Papers

Total Citations

H-Index

About

Choon-Hong Tan is a researcher at the forefront of automated chemical synthesis, pioneering the integration of robotics and artificial intelligence into organic chemistry workflows. His most recognized work centers on the development of robotic systems capable of performing automatic organic chemistry synthesis — a breakthrough that addresses longstanding challenges in both research and industrial laboratory settings. By designing systems that work with existing apparatus without requiring extensive modification, Tan's approach offers a more practical and scalable solution compared to conventional automation strategies, delivering significant improvements in safety, efficiency, and reproducibility. His 2020 publication on this topic has garnered 36 citations, reflecting growing interest from the chemistry and engineering communities in intelligent laboratory automation. An earlier 2019 conference or preprint version of this work further demonstrates the sustained trajectory of his research in this space. Tan's contributions are particularly timely given the increasing demand for high-throughput synthesis platforms in drug discovery and materials science. For students and researchers exploring the convergence of robotics, machine learning, and synthetic chemistry, Tan's work represents an important and inspiring body of scholarship shaping the future of the modern laboratory.