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Machine Learning & Biological Computation

Part of the Intelligent Systems group, we study general principles underlying learning and intelligence and biological systems. We run an Advanced Computing MSc course in Machine Learning and Data Mining.

  • Machine Learning - software that improves with experience
    • How can machines make scientific discoveries and inventions?
    • What can we learn from networks of interaction (e.g. social, financial, ecological)?
  • Computational Biology - models of biological systems
    • Do brain structures make optimal use of data?
    • Do social insects and brains share common statistical models?
  • Bio-inspired Computation - imitating nature's solutions
    • How can we adapt robust, decentralised decision-making methods from biology?
    • How can we adapt evolutionary theory to understand evolutionary algorithms?