Ji-Hee Youn (MSc, BA)


Postgraduate Research Student

School of Health and Related Research
University of Sheffield
Regent Court
30 Regent Street
S1 4DA


ORCiD: 0000-0003-1382-495X

Title of Research

Modelling Health and Healthcare for an ageing population.

University of Sheffield White Rose Scholarship

Current Research

My PhD aims to estimate the impact of population ageing on disease-level healthcare expenditure; and to develop a flexible modelling framework that can inform policy decisions. This research provides a proof-of-concept model where individual Discrete Event Simulation models for three diseases (heart disease, Alzheimer’s disease, and osteoporosis) were linked within a single model. Using external population projection data incorporating potential demographic changes, the methods for projecting future healthcare expenditures for the three diseases were demonstrated and evaluations of the relative benefits of improving treatment of each of the diseases were undertaken.


I started my PhD at ScHARR in October 2011.

Before joining ScHARR, I worked as a health economist from January 2009 at Health Economics Research Group (HERG) and Multidisciplinary Assessment of Technology Centre for Healthcare (MATCH) based in Brunel University. The research projects included the development of Bayesian modelling techniques for early economic evaluation of medical devices and integrated programming methods for economic evaluation and value of information analysis using R and WinBUGS.

I completed my MSc in International Health Policy (Health Economics) at the London School of Economics (LSE) after studying economics (B.A. major; cum laude) and applied statistics (M.A. on leave; B.A. minor) at Yonsei University in Seoul, South Korea.

I also have experience of performing actuarial evaluation in the financial industry and teaching introductory statistics to undergraduate students.

Research Interests

My research interests include decision analytical modelling, discrete event simulation, the economics of population ageing, projection of future healthcare expenditure, and impact of technological developments on healthcare demand.