معرفی
Joe Heeley is a Postdoctoral Researcher (Research Fellow) at the School of Chemistry, University of Nottingham, working in the Hirst research group since August 2023. His primary affiliation is with the Computational Chemistry Group within the university's chemical sciences division.
He holds a PhD from the University of Bristol, where his doctoral research integrated chemical synthesis, density functional theory (DFT), and machine learning methodologies to predict regioselectivity outcomes in palladium-catalyzed C-H functionalization reactions.
Dr. Heeley's research focuses on applying artificial intelligence to sustainable chemical process development, with core expertise in machine learning-driven green chemistry. His work intersects computational modeling, catalytic reaction engineering, and environmentally sustainable synthesis, specifically targeting reductions in chemical manufacturing waste through predictive algorithms. Current projects emphasize AI applications for sustainable chemistry within the Hirst group's research portfolio.
As an active member of the Computational Chemistry Group, he contributes to multiple collaborative initiatives including AI4Green (AI for sustainable chemistry), KreinAMP, DEBT, DichroCalc, DISSPred, GlycoPred, and TRESPASSER – projects spanning spectroscopic prediction, biomolecular modeling, and green chemistry optimization.
