Application for extension of IPS Fellowship for Michael Simmons
Lead Research Organisation:
University of Cambridge
Department Name: Physics
Abstract
The UK government has prioritised transfer of knowledge and technology from academic research groups into industry in order to boost the UK economy. One mechanism for helping this process is to employ Innovation Fellows, based in Universities, who work with the researchers and industry partners to commercialise research outputs. In this proposal we seek support for an extension to the support of the Fellow based at the Cavendish Laboratory in Cambridge. We request 25% of his salary, having raised the remaining fraction elsewhere. The Fellow will aid researchers in bringing software and detectors developed at Cambridge into use outside of the laboratory. One major area will be medical research, where the Fellow has already launched two successful projects to help with the diagnosis and cure of cancer. These projects are collaborations with Addenbrookes Hospital, and this partnership will also bring forward new ideas to make use of proton beams to cure cancer. A major area of STFC expertise is with software for very large data-sets, as required by the Large Hadron Collider and the Square Kilometer Array (a very large radio telescope). The Fellow will attempt to find new areas of application for the techniques used by the researchers.
The Fellow will also work closely with Cambridge Enterprise and other partners to forge closer links between the University researchers and industrial players. All of these activities will ensure that the taxpayer and UK economy gain maximum benefit from the investment in cutting edge research.
The Fellow will also work closely with Cambridge Enterprise and other partners to forge closer links between the University researchers and industrial players. All of these activities will ensure that the taxpayer and UK economy gain maximum benefit from the investment in cutting edge research.
Publications
Brochu F
(2018)
Reduction in Total Radiation Exposure Using X-ray Image Guidance Illustrated in a Patient Receiving Pituitary Radiotherapy.
in Clinical oncology (Royal College of Radiologists (Great Britain))
Drew A
(2017)
Using computing models from particle physics to investigate dose-toxicity correlations in cancer radiotherapy
in Journal of Physics: Conference Series
Scaife J
(2014)
Random variation in rectal position during radiotherapy for prostate cancer is two to three times greater than that predicted from prostate motion.
in The British journal of radiology
Shelley LEA
(2017)
Delivered dose can be a better predictor of rectal toxicity than planned dose in prostate radiotherapy.
in Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Description | This award supported knowledge transfer activities especially in medicine. |
Exploitation Route | This question is not appropriate for this class of award. |
Sectors | Digital/Communication/Information Technologies (including Software) Healthcare |
Description | Support for knowledge transfer activities |
First Year Of Impact | 2005 |
Sector | Digital/Communication/Information Technologies (including Software),Healthcare |
Impact Types | Societal Economic |
Description | Clinical and Translational Research Committee Programme award |
Amount | £1,226,417 (GBP) |
Funding ID | C8857/A13405 |
Organisation | Cancer Research UK |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 03/2012 |
End | 02/2017 |
Description | EPSRC Impact Acceleration Account |
Amount | £67,752 (GBP) |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 03/2014 |
End | 02/2015 |
Description | STFC IAA |
Amount | £42,329 (GBP) |
Organisation | Science and Technologies Facilities Council (STFC) |
Sector | Public |
Country | United Kingdom |
Start | 05/2014 |
End | 01/2015 |
Description | Computational radiotherapy |
Organisation | Addenbrooke's Hospital |
Department | Department of Oncology |
Country | United Kingdom |
Sector | Hospitals |
PI Contribution | We have set up a series of projects on computational radiotherapy. We provide expertise on image analysis, beam transport, radiation deposition, distributed computing. |
Collaborator Contribution | Our partners are clinicians delivering radiotherapy to patients. They supply the clinical expertise. The engineers provide finite element analysis and deformation studies of the tissues. |
Impact | Multidiscplinary team involving clinical radiotherapists, computer scientists, engineers and particle physicists. |
Start Year | 2011 |
Description | Computational radiotherapy |
Organisation | University of Cambridge |
Department | Department of Engineering |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | We have set up a series of projects on computational radiotherapy. We provide expertise on image analysis, beam transport, radiation deposition, distributed computing. |
Collaborator Contribution | Our partners are clinicians delivering radiotherapy to patients. They supply the clinical expertise. The engineers provide finite element analysis and deformation studies of the tissues. |
Impact | Multidiscplinary team involving clinical radiotherapists, computer scientists, engineers and particle physicists. |
Start Year | 2011 |
Description | Physics at Work (Cavendish Lab) 2005-2013 |
Form Of Engagement Activity | Participation in an open day or visit at my research institution |
Part Of Official Scheme? | No |
Type Of Presentation | Workshop Facilitator |
Geographic Reach | Regional |
Primary Audience | Schools |
Results and Impact | Annual departmental exhibition for GCSE students to showcase physics as a career in industry or research. 2000 pupils over 3 days. N/A |
Year(s) Of Engagement Activity | Pre-2006,2006,2007,2008,2009,2010,2011,2012,2013 |
URL | http://www-outreach.phy.cam.ac.uk/physics_at_work/ |