Emery Bosten obtained a master's degree in bioinformatics, followed by a PhD in Pharmaceutical Sciences at KU Leuven. His doctoral research focused on data-driven solutions for method development in liquid chromatography, laying the foundation for a continued interest in the digitalization and automation of laboratory science. He is currently a postdoctoral scientist at KU Leuven and serves as a visiting researcher at Johnson & Johnson Innovative Medicine, where he works at the interface of analytical chemistry, data science, and engineering. His research centers on the automation of method development in liquid chromatography, integrating signal processing, optimization algorithms, and intelligent control of laboratory instrumentation.
By combining computational strategies with experimental workflows, his work aims to make analytical method development faster, more robust, and less reliant on manual trial-and-error, ultimately supporting more efficient pharmaceutical research and development.
In the first instalment of LCGC International's interview series exploring how artificial intelligence(AI)/machine learning (ML) is being used in separation science, we interviewed Emery Bosten from KU Leuven, Belgium, on the role of assisted active learning (AAL) for method development in liquid chromatography (LC).
