UCL Computational Cancer Collaboratorium Hackathon 2025

Date: 9 December 2025
Time: 9am - 5pm
Location: UCL BaseKX, 103c Camley Street, London, N1C 4PF

Are you a computational scientist or engineer interested in contributing to cancer research? Are you an experimental scientist or clinician interested in how computational modelling can enhance your research? Are you a computational cancer researcher looking to meet others, form collaborations and help build our community? Are you a student interested in learning about how computational science can be used to make discoveries and solve problems in cancer research?

Come along to the 2nd UCL Computational Cancer Collaboratorium Hackathon. Hosted by the UCL Computational Collaboratorium, and returning after a successful launch last year. Form multidisciplinary teams to tackle pressing challenges in cancer research, spanning multiple fields, including genomics, computational pathology and radiology. Pitch your own challenge or join a team!

All are welcome to attend, no matter your career stage or level of experience.

Pitch your own challenge

Do you have your own challenge that you would like computational expertise, ideas or input on? Pitch it to computational scientists. While we’re especially keen to hear from biologists and clinicians, anyone is welcome to pitch. We welcome any ideas, from very preliminary to fully formed and anything in between.

To propose your own challenge, please email Jamie Dean at amFtaWUgISBkZWFuIHwgdWNsICEgYWMgISB1aw==.

Schedule

09:00 - 9:30 - Arrival and networking
09:30 - 09:45 - Introduction to the Computational Cancer Hackathon
09:45 - 10:00 - Sponsor talk
10:00 - 10:30 - Pitch challenges and organise into groups
10:30 - 13:00 - First sprint
13:00 - 14:00 - Working lunch
14:00 - 16:00 - Second sprint
16:00 - 16:55 - Lightning talks
16:55 - 17:00 - Conclusion
17:00 - Social

All attendees under the age of 18 must be accompanied by an adult to this event.

If you have any questions about this event, please contact amFtaWUgISBkZWFuIHwgdWNsICEgYWMgISB1aw==.

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