DrConnor Gascoigne

Research Associate in Bayesian Modelling

School of Public Health - Faculty of Medicine

  • Research Associate in Bayesian Modelling
    School of Public Health - Faculty of Medicine
  • School of Public Health Building, 90 Wood Lane, London, W12 0BZ, United Kingdom

BIO

Connor Gascoigne is a Research Associate in the Department of Epidemiology and Biostatistics at Imperial College London. His research focuses on developing and applying Bayesian spatiotemporal models to evaluate the health and mental health impacts of public policy, with a particular emphasis on climate-related policy.

 

Prior to joining Imperial, Connor completed a PhD in Statistics at the University of Bath, United Kingdom (2022), where he developed novel methodological approaches for Age–Period–Cohort (APC) models with applications in under-five mortality estimation. This work contributed to the United Nations' 2021 global estimates of under-five mortality in Low- and Middle-Income Countries. He holds an MMath in Mathematics from the University of Leicester, United Kingdom (2018).

DEGREES

  • PhD in Statistics
    University of Bath, Bath, United Kingdom1 Sep 2018 - 31 May 2022
  • Mmath in Mathematics
    University of Leicester, Leicester, United Kingdom1 Sep 2014 - 31 May 2018

LANGUAGES

  • English
    Can read, write, speak, understand and peer review
  • German
    Can read, write, speak and understand

FACULTY

  • Faculty of Medicine

POSITION NAME

  • Research Associate in Bayesian Modelling

FIELDS OF RESEARCH