Entrepreneurship and AI-driven innovation
Encourage researchers to translate discoveries into real-world applications. Through engagement with investors, industry partners, and innovation networks, we support the creation of intellectual property, spin-outs, and pitch-ready concepts that leverage AI for bioscience and healthcare.
Interdisciplinary proposal acceleration
Empowering interdisciplinary teams to transform ideas into high-impact research proposals. By connecting data scientists, experimental biologists, and clinicians, this theme provides structured support, access to data and models, and mentoring to drive new collaborative projects.
Training the next generation
Build capacity in quantitative and computational biosciences through workshops, hackathons, and doctoral training initiatives. By fostering collaboration across disciplines, we prepare researchers to lead the next generation of AI-enabled biological discovery.
Building a sustainable AI for bioscience ecosystem
Create a long-term, interdisciplinary framework that links data, models, and people across the Institute of Life Sciences. This objective aims to establish Southampton as a national hub for AI in the life sciences, driving innovation, supporting researchers, and accelerating discovery.