Keisuke Ejima is an infectious disease epidemiologist based at the Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore. His research focuses on integrating within-host viral dynamics with population-level epidemiology to understand transmission, disease progression, and intervention effectiveness. His work combines clinical and epidemiological data with mathematical modelling to address key questions in infectious diseases, including antiviral treatment optimization, vaccine-induced immunity, and transmission heterogeneity.

At LKCMedicine, his research aims to develop data-driven frameworks for pandemic preparedness by linking real-world clinical data, digital contact tracing, and mechanistic models. His work seeks to inform public health strategies and clinical decision-making through quantitative insights into infection dynamics and intervention impact.