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ARIA Opportunity Space: Programmable Plants
AI for Plant Protein Engineering
We are developing an AI-powered computational pipeline to design molecular glues to control specific cellular pathways that can accelerate plant regeneration, addressing a critical bottleneck in agricultural biotechnology. Our approach combines an AI agent for mining scientific literature, transcriptomic analyses to identify key protein regulators, and a protein design pipeline to develop a molecular toolbox to enhance plant cell regeneration. By creating these new tools, we aim to dramatically reduce crop development timelines from months to days, democratising access to plant biotechnology for applications in food security and sustainable biomanufacturing.
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.
