Paul B. Taylor

Boehringer Ingelheim (Germany), New Frontier, Boehringer Ingelheim (United States)

Papers

Total Citations

104

H-Index

About

Paul B. Taylor has made foundational contributions to the field of high-throughput screening (HTS) by pioneering the integration of statistical design of experiments (DoE) with automated robotics for assay optimization. His landmark 2007 paper, "Assay Optimization: A Statistical Design of Experiments Approach," has garnered 46 citations and remains a key reference for researchers seeking to overcome the bottleneck between manual and robotic HTS systems. Taylor’s work demonstrates how modern robotic liquid handling can dramatically reduce optimization timelines when combined with rigorous statistical methods, enabling more efficient and reliable assay development. His 2000 paper on "Automated Assay Optimization with Integrated Statistics and Smart Robotics" (37 citations) further solidified his reputation as a leader in merging experimental design with laboratory automation. By systematically applying DoE principles to complex biological assays, Taylor has empowered laboratories to transition from slow, manual processes to high-throughput, data-driven workflows. His research continues to influence both academic and industrial settings, where his methodologies are used to accelerate drug discovery and improve experimental reproducibility. Taylor’s contributions stand as a model for how statistical rigor and automation can transform modern bioanalytical science.