Linna Wang is a PhD candidate in Computer Science at Sichuan University, China. She previously obtained her M.S. (2022) and B.S. (2019) degrees in Computer Science from the same institution. Her research interests lie at the intersection of artificial intelligence and healthcare, focusing on causal machine learning, data augmentation, and large language models. Linna has published in peer-reviewed conferences and journals in machine learning and medical informatics. Recently, she has been working on a causal feature-based cellular aging clock framework, which identifies key causal genes driving lung cell aging and provides a causally interpretable aging prediction model. Looking ahead, Linna aims to develop AI methods that can provide reliable and impactful contributions to healthcare research and practice.