CV - Dr Nathan Green

Contact Information

n.green@ucl.ac.uk
Department of Statistical Science, University College London, 1-19 Torrington Place, London WC1E 7HB, UK
https://n8thangreen.github.io/
https://github.com/n8thangreen

Skills

• Bayesian Statistics
• Health economics
• Simulation
• Survival analysis
• R programming

Education

• 2001 - 2005 Ph.D in Applied Probability, University of Liverpool
  • Supervisor: Prof Damian Clancy
  • Thesis: Optimal Control of Some Epidemic Models Under Uncertainty
  • EPSRC funded
• 1997 - 2001 MMATHSTAT Masters Degree in Mathematics and Statistics, University of Newcastle-Upon-Tyne
  • Grade 2:1

Work

• May 2020 – present Senior Research Fellow, Department of Statistical Science, UCL
• Sept 2013 – May 2020 Advanced Research Fellow, Imperial College London St Mary’s Campus, London
• Oct 2012 – Sept 2013 Mathematical Modeller, Public Health England (PHE), Modelling and Health Economics Evaluation Unit, London
• Feb 2010 – Dec 2011 Biostatistician Research Associate, University of Manchester, Northwest Institute for BioHealth Informatics (NIBHI)
• May 2007 – Jan 2010 Mathematical Modeller, Defence Science and Technology Laboratory (Dstl), MoD, Porton Down
• May 2006 – April 2007 Analyst, Dstl, MoD, Farnborough

Other Appointments and Affiliations

• HES STAR Associate Fellowship
• Fellow of the Royal Statistical Society
• Royal Statistical Society Medical Section Committee Vice-Chair, April 2016-present
• R for HTA Scientific Committee Member & Treasurer

Prizes, Awards and Other Honours

• 2024 Newham Policy Fellow as part of the UCL Policy Fellowship Programme to understand the factors that determine health literacy and their impact for Newham residents, £20,037 (including extension)
• 2023 Alumni Engagement Ideas Award winner at the UCL MAPS Faculty Awards
• 2018 ATHENA SWAN Public Engagement winner, Imperial College London
• 2018 Imperial College London Annual Awards Honourable Mention for Societal Engagement
• 2011 Widening Participation Award Holder for the University of Manchester
• 2011 British Science Association Media Fellow
• 2001 EPSRC PhD funding

Grants

Awarded

• 2024 ‘Hack4HTA: Health technology assessment hackathon in R’, £13,350, International Centre for Mathematical Sciences (ICMS) strategic workshops, project lead
• 2024 Versus Arthritis Early Detection and Targeted Treatments 2024, ‘BAR-JDM: Baricitinib in Juvenile Dermatomyositis: A multi-centre open label, randomised, controlled, superiority trial’, project team
• 2024 Carnegie Trust Research Incentive Grant, £13,893, ‘Characterisation of Persistent Organic Pollutants in a high-latitude Scottish blanket peat bog’, Co-PI
• 2022/23 Global Engagement Fund £3,167 (internal: UCL): Dealing with missing data in Gypsy, Roma, Traveller (GRT) population data sets, with the Sorbonne, Paris, France.
• 2021 Cities partnerships Programme £1,400 (internal: UCL): Week-long workshop and networking at Karolinska Institute, Sweden in Bayesian Health Economics
• 2018 GIDA Pump-Prime Fund: Health Economics hackathons, £24,000 (MRC): ICL and Queen’s University Belfast
• 2017 PPI LOL-lab outreach project, £5,000 (BRC): Science communication workshops and showcase
• 2016, 2017 Training bursary (NCRM): Bayesian modelling using WinBUGS; Combining different level data sources
• 2009 Refinement of the AEP-45 Correlation Algorithm (US DoD)
• 2008 Knowledge Management Capability (KMC) Source Term Estimation Project (internal: MoD)
• 2008 Applied Mathematical Sciences Institute (SAMSI), North Carolina, USA (external: National Science Foundation): Sequential Monte Carlo Methods
• 2006 Investigating Alternative Methods of Characterising Model Outcome Spaces for Analytical Assessment (internal: Dstl)

Teaching

• June 2022/23/24 Summer School in Bayesian Health Economics, Lausanne, Switzerland/Florence, Italy
• January 2022/23/24 NERC Doctoral Training Program (DTP) UCL lecturer
• February 2020 African Institute for Mathematical Sciences (AIMS) lecturer, written and present module on statistical modelling of infectious diseases, Cameroon
• 2018/2019, 2019/20 Module Lead and lecturer for Introduction to Bayesian Statistics in MSc in Epidemiology
• 16th – 20th September 2019 Introduction to R, data visualisation and maps lecturer, written and delivered workshop for the Polio Eradication Initiative in Islamabad, Pakistan
• December 2019 Webinar lecturer, written and delivered a series on survival analysis in R for HTA for the King Hussain Hospital, Jordan
• Imperial College’s summer school course on Infectious Disease Modelling, lecturer for heterogenous mixing module.
• Write and mark exam for 3rd year BSc Epidemiology
• 2018 MSc in Epidemiology Dissertation presentation marker
• Computational Medicine Module, Imperial project supervisor
• Lecturer on ICL 4th year Medicine students Computational Medicine Module
• MPH/MSc in Epidemiology practical Lead (Flu & TB practicals, principles and methods in epidemiology, 2015 Principles of Global Epidemiology), Imperial College London
• 2017, 2018 UCL MSc in Health Economics and Decision Science invited lecturer
• 2016 Invited lecture for 3rd year BSc Epidemiology, Imperial College London
• 2016 Further R programming skills workshops, designed and presented, MSc in Public Health, Imperial
• Reaching Further program, Imperial schools outreach programme
• 2015-2020 Imperial Summer School workshop lead
• July 2013, 2014, 2015 London School of Hygiene and Tropical Medicine Infectious disease modelling summer school
• 2010 Provided drop-in sessions of statistical support and advice, Manchester University Medicine degree 4th year projects

Recent Invited Talks

• University of Sheffield, Doctoral Training Centre One-Day Workshop, Data Science in Health Economics, 2022
• ICON internal webinar, novel methods for NMA, 2022
• Societal Engagement Conference, Imperial College London, Experiences in Science Comedy, 2018
• University of Liverpool, returning graduates, Statistical modelling for CBRN in Defence, 2016
• UCL Health Data Science Masters 1999, 2000

Grant Reviewing

• NIHR Invention for Innovation (i4i)

Journal Reviewing

• BMJ
• Value in Health
• Medical Decision Making (MDM)
• Journal of the Royal Society - Interface
• International Journal of Environmental Research and Public Health
• Frontiers
• Sensors
• The R Journal
• The Journal of Statistical Software
• Applied Health Economics and Health Policy

Conference Reviewing

• The 26th International Conference on Artificial Intelligence and Statistics (AISTATS)

Book Reviewing

• Taylor and Francis/CRC Press

Mentoring and Supervision

Doctoral

• 2024 - present Risk prediction modelling and variable selection, 2nd supervisor
• 2024 - present Population-level health decision-making under limited data constraints, 2nd supervisor
• 2020 – 2024 Survival analysis in health economics modelling, 2nd supervisor

Masters

• 2020 – present MSc summer projects 1st supervisor, UCL
• 2015 – 2019 MSc summer projects 1st supervisor, Imperial College London

Enterprise\External Engagement

• UCL Department of Statistical Science podcast organiser/editor and weekly seminar co-organiser.
• ‘Data Detectives’ school outreach with UCL Department of Statistical Science
• RSS Discussion Meetings Medical section reviewer.
• 2018 - 2020 Associate Editor for Nature Scientific Reports.
• 2015 - 2020 Imperial Festival volunteer
• 2013 “I’m a Scientist Get Me Out Of Here” participant
• Statistical reviewer for the Before The Headlines initiative by the Science Media Centre (SMC).
• SciBar (Dec 2011), Bright Club (July 2011), Nerd Nite (2019), Science Show-Off (2019)
• 2010, 2011 Panel guest at the Manchester University Pathways postgraduate careers event
• 2010 Manchester Science Festival at Manchester Museum of Science and Industry