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ARIA Opportunity Space: Manufacturing Abundance
AI for Programmable Protein Design
Proteins are the molecular machines of life, yet engineering them for new functions remains slow, expensive, and limited by the throughput of experimental screening. AI tools for protein design, including protein language models and structure generative models, offer the promise of dramatically accelerating this process, but reliably steering these models toward specific engineering goals remains an open challenge. We are building a foundational AI model for protein design that can be told what to optimise for, enabling researchers to steer the model toward any design goal. With experimental partners, we are applying this approach to challenges spanning sustainability, medicine, and industrial biotechnology.
Jude holds a PhD in ML for Drug Discovery from UCL. He has worked on protein informatics and structural generation via advanced ML. Jude has published 8+ publications or pre-prints in the last 3 years.
Stefano Angioletti-Uberti
Senior Lecturer Department of Materials - Faculty of Engineering
Stefano Anglioletti-Uberti leads the SoftNanoLab group at Imperial College London, combining research on nanobiotechnology and computational design. He is also Co-founder and Chief Scientist at Nanograb and Chief Scientist at Aminoanalytica.
