Hackathon – AI in cancer omics: what can we learn from cancer resistant species?

Are you a graduate student or early career researcher? Join us for a three-day hackathon exploring one of the most intriguing questions in cancer biology: what can we learn from species that naturally resist cancer?

Key dates:

Application deadline: 12th April 2026 

Selection: Early May 2026

Training: June 2026 (online , in your own time)

Hackaton (in-person) 9-11th July 2026 

Location: Churchill College, Cambridge

Tracks:

Genomics Transcriptomics Proteomics Data exploration and community tools Multi-omics Open track

This hackathon, hosted by the Fundamental Biology of Cancer Programme at the Cancer Research UK Cambridge Centre, will train participants to use machine learning to study cancer-resistant species like whales, elephants, and naked mole-rats, uncovering natural tumour-fighting mechanisms that could inspire new approaches to preventing and treating human cancers. The event is funded by the Accelerate Programme for Scientific Discovery and the Cambridge Centre for Data-Driven Discovery.

If you are curious, collaborative and ready to challenge yourself, this is your opportunity to build new skills, meet future collaborators and contribute to cutting-edge cancer research. If you have any questions please email

Application form