Infectious Disease Epidemiology
- Quantification of transmission dynamics and control
- Theoretical framework construction
- Bayesian Inference
- Mpox (monkeypox)
My research work revolves around mathematical formulation of infectious disease dynamics drawing upon state-of-the-art mathematical/statistical/computational methodologies to better understand the dyamics of infectious diseases across various scales and contribute to public health issues.
For directly transmitted diseases, each of observed cases is not independent (infector-infectee relationship), which is often referred to as dependent happenings. This leads to the need for the reconstruction of transmission dynamics in terms of mathematical modelling accounting for non-i.i.d. settings.
My main interest lies in quantifying natural history, transmission dynamics, and control (i.e.,non-pharmaceutical interventions, vaccine strategy, etc.) and constructing a theoretical framework, often using a Bayesian approach.