Public concerns about the health and environmental safety of chemicals are driving the development of more sustainable, ‘‘greener’’ chemicals and products. Intrinsic chemical hazards are a function of many factors including physicochemical properties, chemical structure, and sub-structures. Using these properties to predict chemical hazards provides chemical R&D programs with a fast and increasingly reliable technology for new green chemical designs. Artificial Intelligence prediction software is well suited for this purpose and can be applied to all stages of the value chain when developing new green and sustainable chemicals.
Dr. Rowlands is a Senior Toxicologist and Distinguished Member of the Technical Staff at UL Solutions providing leadership in the innovation of products and services for chemical safety assessments of consumer products. He has spent over 20 years applying conventional and new toxicology approaches including non-animal and computational predictive toxicology in chemical safety evaluations. His current research is developing approaches to using artificial intelligence models to aid in the development of green and sustainable chemicals.