Claudia Houben

Papers

Total Citations

108

H-Index

About

Claudia Houben is a leading figure in the field of automated chemical discovery and process optimization. Her research focuses on the development and application of closed-loop experimental platforms—often termed "self-optimization"—that integrate machine learning, robotics, and real-time analytics to revolutionize how chemical reactions are discovered and refined. Her seminal 2015 review, "Automatic discovery and optimization of chemical processes," which has garnered over 108 citations, provides the first comprehensive overview of these transformative techniques across the molecular sciences. This work has been instrumental in establishing the conceptual and practical framework for autonomous experimentation, enabling researchers to rapidly explore vast chemical spaces with unprecedented efficiency. By demonstrating how closed-loop systems can accelerate the identification of optimal reaction conditions and even uncover novel reactivity, Houben has positioned herself at the forefront of a paradigm shift in chemistry. Her contributions are not only advancing fundamental research but also paving the way for more sustainable, data-driven industrial processes, making her a key voice for the next generation of chemical engineers and scientists.