Adjacent Space: Sustainable Livestock

AI for Sustainable Agriculture

We are developing AI models that can design precise genetic modifications to improve livestock health and productivity. Our system learns from large databases of DNA activity measurements to predict which genetic changes will help animals produce more food while requiring fewer resources. By combining artificial intelligence with modern gene editing techniques, we can test and validate these genetic improvements in livestock cells before implementing them. This technology aims to make animal farming more sustainable and efficient, helping reduce greenhouse gas emissions while improving food security in developing regions where agriculture is crucial for economic stability.
James Prendergast's Lab
University of Edinburgh
,
Edinburgh
Lab advisor
James Prendergast
Professor of Bioinformatics
Founder of
James’s group is focused on understanding mammalian gene regulation, genome evolution and human and animal disease genetics.
Founder of
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Lab fellow
Founder of
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