Reaction optimization is challenging and traditionally delegated to domain experts who iteratively propose increasingly optimal experiments. Problematically, the reaction landscape complex often requires hundreds of experiments reach convergence, representing an enormous resource sink. Bayesian (BO) algorithm that recommends next experiment based on previous observations has recently gained con...