Thomas Mee

Thomas Mee, PhD MEng

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Dr Thomas Mee is a Research Associate within the PRECISE group. He has a degree in Chemical and BioSystems Engineering, but focussed on mathematical modelling of healthcare for his PhD at the University of Surrey. He has been working on the MALTHUS model, modelling and projecting radiotherapy demand within the NHS, since 2010. Outside of NHS England, Dr Mee’s research has been used in numerous countries, is the subject of new international collaborations with cancer institutions and has gained commercial interest. He has strong links to and collaborates with the University of Cambridge/Addenbrooke’s NHS foundation trust as well as holding an honorary Christie NHS foundation trust contract.

Research interests

The Malthus Project

Malthus (Monte Carlo Applications for Local Treatment Healthcare Utilisation Simulations) is a project that focusses on analysing data and simulating radiotherapy demand at a local level around NHS-England. The core of the model is a Monte-Carlo based discreet-event simulation with a virtual patient generator that allows the re-creation of statistically representative patient cohorts linked to granular incidence data without straying into the realms of potentially-identifiable data. Malthus also includes projection models for population (from the ONS) and cancer incidence (from CRUK), allowing simulations to project into the future. The model also maps around 2,000 evidence-based clinical decisions relating to radiotherapy.

Malthus is useful for clinicians, planners, commissioners and researchers who can use the tool for basic demand simulations to simulations estimating the demand of new technology and the impact of clinical trials influencing treatment paradigms. The tool was created with plug and play data to allow new data-sets to be input and new clinical decisions to be mapped.

We are currently exploring the research opportunities of expanding Malthus into Proton Beam Therapy (PBT) by utilising the high-quality data that has been collected by the National Cancer Registration and Analysis Service and national clinical expertise, to generate a scenario-based model for a national PBT service. Interest has been shown in the model from countries around the world to see if it can be applicable with their data, and from industry too.

My group

Karen Kirkby 
Group Lead
Richard Rose Chair in Proton Therapy Physics
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Neil Burnet 

Chair in Clinical Academic Proton Therapy
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Norman Kirkby 

Research Fellow
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Michael Taylor 

Lecturer in Proton Therapy Physics 
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Michael Merchant 

Lecturer in Proton Therapy Physics
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Thomas Mee 

Research Associate 
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Amy Chadwick 

Research Associate 
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Current PRECISE PhD Students


Nicholas Henthorn
John Warmenhoven
Marios Sotiropoulos
Rebecca Morris
Costanza Panaino
Edward A K Smith
Yunzhou Xia
Emma Biglin
Sam Ingram


Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Doctor of Philosophy, Monte Carlo Applications for Local Treatment Healthcare Usage Simulations, University of Surrey

Award Date: 1 Jul 2015

Master of Engineering, Chemical and Bio Systems Engineering, University of Surrey

Award Date: 13 Jul 2010

Areas of expertise

  • QA75 Electronic computers. Computer science
  • FORTRAN language
  • R Medicine (General)
  • Radiotherapy
  • proton therapy
  • treatment demand

Research Beacons, Institutes and Platforms

  • Cancer
  • Digital Futures


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Collaborations and top research areas from the last five years

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