Artificial intelligence is reshaping biology, from predicting protein structures and analysing genomes to interpreting images, understanding cells and automating laboratory research. UCL Biosciences combines expertise in Biology, Computing Science, Physics and Mathematics to advance AI-enabled research. Linking strengths in neurobiology, genomics and structural biology with London’s AI ecosystem, UCL is accelerating discovery in health and disease.
Discover our research, impact and teaching in this area.
AI-informed protein structure and antibody engineering
Using AI to decode protein structure, function and disease mechanisms.
Machine learning, genomes and evolution
Using AI and genomics to uncover disease, evolution and biological mechanisms.
Quantitative ecology, big data and machine learning
Using AI, genomics and ecological modelling to understand biodiversity, disease transmission, ecosystem dynamics, adaptation and extinction risk.
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NeuroAI
A Biosciences research community working at the interface of neuroscience and artificial intelligence.
Biosciences Computational Biology
Advancing biosciences through cutting-edge computational research and education in AI, machine learning, and big data.