We are delighted to welcome you to the next session of our AIchemy Hub’s monthly webinar series.
This month’s talks:
Dr. Adam Clayton – Self-Optimising Approaches for Flow Synthesis
Dr Adam Clayton’s talk will cover how machine learning and adaptive algorithms like the Adaptive Latent Bayesian Optimiser (AlaBO) can streamline the optimisation of complex, multistep chemical reactions, improving efficiency in flow chemistry. He will introduce a new (AlaBO) algorithm, designed to enhance the development of mixed variable catalytic reactions.
Abdoulatif Cisse – HypBO: Accelerating Black-Box Scientific Experiments Using Experts’ Hypotheses
Abdoulatif Cisse’s talk will explore how expert human hypotheses can be integrated with Bayesian optimisation to quickly navigate large, unexplored scientific search spaces, particularly in fields like materials discovery. Learn how this method improves the efficiency of search processes, achieving faster and more accurate results in complex experiments.
Following the presentations, there will be time for questions from the audience.
Dr. Adam Clayton
Associate Professor
Abdoulatif Cisse
Research Postgraduate
