I am a physicist and quantitative epidemiologist whose research focuses on modeling the transmission of climate-sensitive and zoonotic infectious diseases, particularly leptospirosis and other emerging infections in Thailand. I combine methods from mathematical modeling, spatial–temporal statistics, and interpretable machine learning (e.g., XGBoost, neural networks, LSTM) with environmental, climatic, and socio-economic data to quantify risk, forecast outbreaks, and support public health decision-making. My academic interests also include the health impacts of air pollution (especially PM₂.₅), the integration of remote sensing and hydrological data into disease models, and the development of user-friendly decision tools and training for students and public health practitioners.