I lead the ChemTech Lab (www.chemtech.dev), developing AI-driven and autonomous experimental platforms for chemical and formulation optimisation. My work combines automated liquid handling, design of experiments, and machine learning (including Bayesian optimisation) to accelerate discovery in complex, multi-variable systems. I have experience building closed-loop workflows that generate high-quality data and rapidly identify optimal formulations or processes. My research focuses on making experimentation more efficient, scalable, and data-driven, helping industry solve challenging optimisation problems in areas such as formulations, materials, and chemical processes where traditional trial-and-error approaches are too slow and costly.