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Particle Physics, MR-Linac, Medical Imaging, Radiotherapy, Data-Intensive Research, Big Data, Machine Learning, Distributed Computing, GridPP, CERN, LHC, CERN@school
United Kingdom

Biography

I am a Teaching Fellow at the University of Oxford's Department of Oncology. My current role applies my experience with particle physics, medical imaging, radiotherapy, data management, and clinical trials to departmental teaching. I am Director of Studies for the MSc Radiation Biology course. I started out in particle physics, working on the Compact Muon Solenoid (CMS) and Monopole and Exotics Detector at the LHC (MoEDAL) experiments looking for dark matter and magnetic monopoles respectively. While a Public Engagement Fellow for the UK Science and Technology Facilities, Council, I worked extensively in engaging wider publics with research and large-scale computing through the Institute for Research in Schools (IRIS) and GridPP Collaboration, and the CERN@school research programme. I then entered the world of medical imaging through the analysis of clinical and research neuroimaging datasets, including the UK Biobank, and Magnetic Resonance-guided Radiotherapy (MRgRT) through my work with the ViewRay MRIdian MR-Linac. I read Natural Sciences at Sidney Sussex College, Cambridge, specialising in Experimental and Theoretical Physics, and I completed my PhD at Imperial College London‘s High Energy Physics group and CERN.

Activities

Employment (6)

University of Oxford: Oxford, Oxfordshire, GB

(Department of Oncology)
Employment
Source: check_circle
ORCID Integration at the University of Oxford

University of Oxford: Oxford, Oxfordshire, GB

2019-07 to 2021-12-05 | Postdoctoral Researcher (Physics) (Department of Oncology)
Employment
Source: Self-asserted source
Tom Whyntie

University of Oxford: Oxford, Oxfordshire, GB

2017-11 to 2019-07 | Postdoctoral Researcher in Neuroimaging Harmonisation (Nuffield Department of Clinical Neurosciences)
Employment
Source: Self-asserted source
Tom Whyntie

University College London: London, London, GB

2017-01 to 2017-11 | Research Associate in Big Data for Medical Imaging (Medical Physics and Biomedical Engineering)
Employment
Source: Self-asserted source
Tom Whyntie

Queen Mary University of London: London, London, GB

2015-09 to 2017-01-03 | Public Engagement Fellow (School of Physics and Astronomy)
Employment
Source: Self-asserted source
Tom Whyntie

Queen Mary University of London: London, London, GB

2013-10-18 to 2017-01-03 | GridPP Engagement Officer (School of Physics and Astronomy)
Employment
Source: Self-asserted source
Tom Whyntie

Education and qualifications (3)

Imperial College London: London, London, GB

2007-10-01 to 2011-10-26 | PhD/High Energy Physics (Department of Physics)
Education
Source: Self-asserted source
Tom Whyntie

University of Cambridge: Cambridge, Cambridgeshire, GB

2006-10-01 to 2007-06-30 | MSci/Natural Sciences (Cavendish Laboratory)
Education
Source: Self-asserted source
Tom Whyntie

University of Cambridge: Cambridge, Cambridgeshire, GB

2003-10-01 to 2006-09-31 | BA (Hons)/Natural Sciences
Education
Source: Self-asserted source
Tom Whyntie

Works (17)

Planning feasibility study of three and single fraction Pancreas MR-Linac SBRT - Phase 1 trial setup

ESTRO 2022
2022-05 | Conference poster
Source: Self-asserted source
Tom Whyntie

Automated scripting of the dosimetric evaluation of adaptive versus non-adaptive radiotherapy

Biomedical Physics & Engineering Express
2022-05-01 | Journal article
Contributors: Pratik Samant; Ben George; Tom Whyntie; Maxwell Robinson
Source: check_circle
Crossref

Modelling of Dosimetric Impact of Visceral Organ Variability During MRI-Guided Hypofractionated Stereotactic Ablative Radiotherapy (SABR) to the Pancreas

International Journal of Radiation Oncology*Biology*Physics
2021-11 | Journal article
Part of ISSN: 0360-3016
Source: Self-asserted source
Tom Whyntie

Validation of High-Performance Low-Field-Strength T1-weighted neuroimaging sequence models

Organisation for Human Brain Mapping (OHBM) 2021
2021-06 | Conference poster
Source: Self-asserted source
Tom Whyntie

Search for Magnetic Monopoles with the MoEDAL Forward Trapping Detector in 13 TeV Proton-Proton collisions at the LHC

Phys. Rev. Lett.
2017-02-10 | Journal article
Source: Self-asserted source
Tom Whyntie

The CERN@school Programme: A Guide to the MoEDAL Experiment

Queen Mary University of London
2017-01 | Report
Source: Self-asserted source
Tom Whyntie

The CERN@school Programme: Document Index

Queen Mary University of London
2017-01 | Report
Source: Self-asserted source
Tom Whyntie

Search for magnetic monopoles with the MoEDAL prototype trapping detector in 8 TeV proton-proton collisions at the LHC

JHEP
2016-08 | Journal article
Source: Self-asserted source
Tom Whyntie

CERN@school: bringing CERN into the classroom

Nuclear and Particle Physics Proceedings
2016-04 | Journal article
Contributors: T. Whyntie; J. Cook; A. Coupe; R.L. Fickling; B. Parker; N. Shearer
Source: Self-asserted source
Tom Whyntie via Crossref Metadata Search

CERN@School: Forming Nationwide Collaborations for Physics Research in Schools

Nuclear Physics News
2016-01-02 | Journal article
Contributors: T. Whyntie
Source: Self-asserted source
Tom Whyntie via Crossref Metadata Search

CERN@school: demonstrating physics with the Timepix detector

Contemporary Physics
2015-06-15 | Journal article
Source: Self-asserted source
Tom Whyntie

Full simulation of the LUCID experiment in the Low Earth Orbit radiation environment

Journal of Instrumentation
2015-03-25 | Journal article
Source: Self-asserted source
Tom Whyntie

Simulation and analysis of the LUCID experiment in the Low Earth Orbit radiation environment

Journal of Physics: Conference Series
2014-01 | Journal article
Source: Self-asserted source
Tom Whyntie

Investigating the inverse square law with the Timepix hybrid silicon pixel detector: a CERN@school demonstration experiment

Physics Education
2013-02-18 | Journal article
Source: Self-asserted source
Tom Whyntie

Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC

Physics Letters B
2012-08-17 | Journal article
Source: Self-asserted source
Tom Whyntie

Constraining the supersymmetric parameter space with early data from the Compact Muon Solenoid experiment.

2011-10-26 | Supervised student publication
Source: Self-asserted source
Tom Whyntie

Search for Supersymmetry in pp Collisions at 7 TeV in Events with Jets and Missing Transverse Energy

Physics Letters B
2011-04-11 | Journal article
Source: Self-asserted source
Tom Whyntie