Current approaches for protein design require multiple iterations of the design-make-test experimental cycle and provide limited control over the properties of the resulting molecules. I’m developing deep learning-based methods for designing de novo proteins with specific physicochemical properties. Computationally, this becomes a multi-objective optimisation problem where the output must be novel, diverse and physically plausible - how exciting! Feel free to reach out if you’re interested in similar topics and would like to have a chat.