My research focuses on applying artificial intelligence and computational biology to improve reproductive health outcomes, particularly in fertility and early pregnancy. I develop machine learning models that integrate image, genetic, and clinical data to better understand embryo implantation and optimize IVF decision-making. More broadly, I am interested in how multimodal data fusion and predictive modeling can promote personalized reproductive care.
