I am a senior data analyst at the Ministry of Health, Singapore and joined the school as a research degree student in 2021, focusing on infectious disease modelling. I am interested in how disease surveillance could shape our understanding of the underlying outbreak dynamics and how changes in human behaviour affects disease transmission and effectiveness of outbreak control measures.
Prior to joining the school, I was primarily involved in the surveillance of influenza and other respiratory viruses. I completed my MSc in Epidemiology at Imperial College London (2016-2017) and BEng in Environmental Engineering at the Nanyang Technological University, Singapore (2012-2016)
Prior to joining the school, I was primarily involved in the surveillance of influenza and other respiratory viruses. I completed my MSc in Epidemiology at Imperial College London (2016-2017) and BEng in Environmental Engineering at the Nanyang Technological University, Singapore (2012-2016)
Affiliations
Department of Infectious Disease Epidemiology and Dynamics
Faculty of Epidemiology and Population Health
Research
My current research interest focuses on understanding the epidemiology of SARS-CoV-2 and modelling the COVID-19 transmission dynamics at the population-level and in specific settings (e.g. households, large-scale events). I am interested in Bayesian inference methods and network modelling and also interested to understand how different modelling techniques infleunce our interpretation of an outbreak.
Research Area
Mathematical modelling
Bayesian analysis
Epidemiology
Public health
Surveillance
Outbreaks
Disease and Health Conditions
Emerging infectious diseases
COVID-19
Influenza
Country
Singapore
Selected Publications
Temporal contact patterns and the implications for predicting superspreaders and planning of targeted outbreak control.
2024
Journal of the Royal Society, Interface
Detecting changes in generation and serial intervals under varying pathogen biology, contact patterns and outbreak response.
2024
PLoS computational biology
Severity of SARS-CoV-2 Omicron XBB subvariants in Singapore.
2023
The Lancet regional health. Western Pacific
