Computing Radiation Effects for Advancing Medicine (CREAM-1)

Computing Radiation Effects for Advancing Medicine (CREAM-1)

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Computing the effects of radiation on biological systems, from complete beginners to advanced hackathon!

Would you like to:

• Build your own virtual radiotherapy machine?

• Calculate what radiation does when it enters biological systems?

• Simulate the small animal irradiator/linac/CT scanner relevant to your research?

• Play with high energy virtual beams of protons, carbon ions, photons, neutrons?

• Work out the dosimetry for your experiments?

• Discover computational approaches to radiobiology?

• Contribute to and develop models of biological response to radiation?

• Use Geant4 through Topas – the easy way to do hard stuff well?

• Network with experts doing these kinds of things?

If the answer to any of these is Yes then you should come to CREAM-1 the Topas Workshop/Computational Radiation Biology Hackathon being held at Queen’s University, Belfast on the 3rd – 6th of April 2018.

This 4-day event is designed to allow the complete beginner (literally no computational simulation experience necessary) to come and learn whilst the last two days will accommodate the solving real research problems when experienced users will come together with beginners to solve a number of problems using Topas and other computational tools, hopefully leading to a number of new collaborations and publications.

3rd & 4th April: An introduction to TOPAS, suitable for complete beginners. 

5th & 6th April: Multi-scale models for radiobiology & radiotherapy 'hackathon' event, using a range of computational tools. A workshop to identify the key problems with multi-scale models and collaborate to solve them. There is no taught content on these days.

We are expecting a range of researchers at all career stages from masters to senior scientists. 

If you have any dietary requirements, please contact the organisers using the link below.

Organised by:

Prof. Fred Currell, Queen's University Belfast

Dr Michael Merchant, University of Manchester

Dr Charlie Jeynes, University of Exeter