Isabelle’s research focuses on applying statistical and econometric models to public health, epidemiology, and occupational health
. Her expertise lies in multilevel modeling, survival analysis, and econometric methods, addressing challenges like healthcare access disparities, disease surveillance, and treatment adherence
. She has contributed to developing innovative tools for data analysis, enhancing predictive modeling capabilities. Isabelle’s interdisciplinary approach integrates advanced statistical methods with applied health research
. Her projects, from modeling antiretroviral treatment compliance to analyzing health behaviors, aim to improve public health policies and interventions, fostering equitable healthcare systems globally
.