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Original broadcast: 12 May 2026
Presenter: Dr Tom Whitehead, Head of Machine Learning, Intellegens
Formulating new products often involves complex, high-dimensional interactions that make traditional trial-and-error approaches slow and inefficient. This webinar shows how machine learning can learn from existing experimental data to predict performance, uncover hidden relationships, and guide more efficient experimentation. We will discover how encoding the chemistry of formulation ingredients directly into models enables better generalisation across ingredients and more intelligent exploration of formulation space. Attendees will see how combining chemistry with data-driven design can reduce experimental effort, accelerate development, and unlock improved formulations across a range of industries.
