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 currently have no openings in the group, please check back in October/November 2025

We have an opening joint with other groups:

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.

If you want to apply for a prize studentship you will need to register on Euclid prior to 16/12/2024. Please get in touch via email if you are interested as soon as possible. More details are found here:

Prize Studentships at Edinburgh

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

15/09/2025

Congratulations Jasmin on submitting your thesis and starting a postdoc position at the University of Bristol with the group of Adrian Muholland

08/09/2025

Welcome Hattie to the group!

23/01/2025

Congratulations Rohan for passing your PhD viva!!

15/12/2024

Congratualtions Rohan for starting a job at Novartis in Basel!

05/12/2024

Congratualtions Jasmin for publishing your work on free energy calculations with metallo-beta-lactamases

01/11/2024

Congratulations Rohan for submitting a preprint on using LLMs for binding affinity predictions with BALM

06/03/2024

Congratulations Rohan for publishing your second paper Benchmarking Active Learning Protocols for Ligand-Binding Affinity Prediction

12/01/2024

Welcome Auro Varat Patnaik to the group working jointly with Davide Michieletto

16/10/2023

New print from work done by Robert Arbon and Ryan Zhu: Markov State Models: to optimize or not to optimize

... see all News