Welcome to the Mey Research Group
We are a research group based at the University of Edinburgh in the School of Chemistry that forms part of EaSt Chem. Our research looks at combining data intensive simulation approaches with machine learning to understand protein function and inhibition better, with a particular focus on antimicrobial resistance.
We are looking for more people to join the group!
We have an opening for a PhD position:
- Learning design rules for substrate affinity in metalloenzymes Deadline 16/Mar/2026
Expression of interest: Please send an email to Antonia Mey with the specific title of the project you are interested in. Please attach a brief CV to your email.
Otherwise, for more information and other opportunities on how to join take a look here!
We are grateful for funding from Royal Society of Chemistry for the Outreach project Chemistry in Focus.
News
15/09/2025Congratulations Jasmin on submitting your thesis and starting a postdoc position at the University of Bristol with the group of Adrian Muholland
08/09/2025Welcome Hattie to the group!
23/01/2025Congratulations Rohan for passing your PhD viva!!
15/12/2024Congratualtions Rohan for starting a job at Novartis in Basel!
05/12/2024Congratualtions Jasmin for publishing your work on free energy calculations with metallo-beta-lactamases
01/11/2024Congratulations Rohan for submitting a preprint on using LLMs for binding affinity predictions with BALM
06/03/2024Congratulations Rohan for publishing your second paper Benchmarking Active Learning Protocols for Ligand-Binding Affinity Prediction
12/01/2024Welcome Auro Varat Patnaik to the group working jointly with Davide Michieletto
16/10/2023New print from work done by Robert Arbon and Ryan Zhu: Markov State Models: to optimize or not to optimize
