Dr Xinglong Zhang obtained his BA degree from the University of Cambridge in 2014 and Master of Science in Theoretical and Computational Chemistry from the University of Oxford in 2016. Working on computational studies of organic and organometallic catalysis, he obtained his Doctor of Philosophy under Prof Robert Paton at the University of Oxford in 2019. After a brief postdoctoral stint under Prof Thomas F. Miller at Caltech, he joined the Institute of High Performance Computing (IHPC), A*STAR as a research scientist in 2020. Dr Zhang is currently an Assistant Professor at the Chemistry Department of the Chinese University of Hong Kong (CUHK). His research interests include computational catalysis in transition metal-catalyzed C–H functionalization and C–C coupling reactions, and asymmetric organocatalysis. His group is active in developing automation tools to streamline computational chemistry practice and applying machine learning derived interatomic potentials to address longstanding topics in catalysis such as dynamical and entropic effects and explicit solvent modelling. More information can be found on group website: https://xinglong-zhang.github.io/.