Join Dr. Mohammed Jeraal, Lead Developer of AMLearn, as he walks through the fundamentals of self-driving labs and demonstrates how AMLearn is enabling smarter, faster R&D through predictive modelling and autonomous experimentation.
With a strong background in automation and machine learning for chemistry, and a track record that includes collaborations with industry leaders like Pfizer, he brings both technical depth and practical insight.
In this session, he distills how different tools from Bayesian optimisation to neural networks are implemented to tackle real-world challenges in chemical process optimisation.