Welcome to the Mey Research Group

We are young and dynamic research group based at the University of Edinburgh in the School of Chemistry that forms part of EaSt Chem. The 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.

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We are looking for more people to join the group!

We have a few open positions in the group:

• New Methods for Metalloenzyme Modelling (Deadline 17/Jan/2025)
• Integration of Property Predictions with Molecule Generation using Reinforcement Learning (Deadline 20/Jan/2025)

And joint with other groups:

• Design and synthesis of chemical probes to understand the role of glucokinase in pancreatic β-cell function (Deadline 17/Jan2025 - joint with Chris Coxon’s group).
• Data-driven Catalyst Optimization for CO2 Utilization Reactions (Deadline 06/Jan/2025 joint with Ephrath Solel’s group)

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.