Professor JONATHAN HIRST
| Post Nominals | BA, PhD, CChem, FRSC |
|---|---|
| Biography | Jonathan Hirst is Professor in Computational Chemistry at the University of Nottingham. In 2020, he was awarded a Chair in Emerging Technologies by the Royal Academy of Engineering, focusing on research that will empower the development of next-generation molecules that chemical engineers and chemists make, by using machine learning to augment human decision-making. His tenure as Head of School (2013-2017) saw some significant transformations under his leadership, including the building of the GSK Carbon Neutral Laboratory and a successful bid for an Athena Swan Silver Award. |
| Research Interests | Ongoing research includes applications of computational chemistry to the study of the structure, dynamics and spectroscopy of biological molecules and the development and application of computer-aided molecular design. |
| Teaching and Learning | I have had 20+ years of teaching experience. My typical undergraduate teaching responsibilities have comprised lectures in modules such as Protein Folding & Biospectroscopy (3rd year undergrad), Computational Chemistry (4th year undergrad) and Molecular Modelling for Medicinal Chemistry (3rd year undergrad), Physical Chemistry Laboratory demonstration and tutorials. |
| ResearcherID | G-7681-2011 |
| Scopus Author ID | 7102628530 |
| PhD Supervision Availability | Yes |
| PhD Topics | Machine learning and molecular simulation for drug discovery Machine learning for catalyst discovery/optimisation Computational spectroscopy of proteins Quantum chemistry and molecular simulation of organic photovoltaics |