Pieter Plehiers

Papers

Total Citations

1,080

H-Index

About

Pieter Plehiers is a leading researcher at the intersection of artificial intelligence and organic chemistry, with a primary focus on automated synthesis and reaction optimization. His most impactful contribution is the development of a robotic platform for flow synthesis of organic compounds, guided by AI planning—a landmark 2019 study that has garnered over 1,080 citations. This work represents a paradigm shift in chemical synthesis, demonstrating how AI can relieve expert chemists from routine tasks by autonomously planning and executing multi-step reactions. By integrating machine learning with automated flow chemistry, Plehiers has helped lay the groundwork for a future where complex molecule synthesis is faster, more reproducible, and less labor-intensive. His research addresses critical bottlenecks in drug discovery and fine chemical production, bridging the gap between computational retrosynthesis and physical experimentation. Through his pioneering efforts, Plehiers has established himself as a key figure in the digital transformation of synthetic chemistry, inspiring both academic and industrial researchers to reimagine how organic compounds are designed and made.