Title:  Bridging Scales in Biology: Deciphering and Predicting Complex Diseases through Population-wide and Cell-level Multiomics Analysis
Abstract:  Advances in biological technologies have transformed our ability to investigate complex diseases through whole-genome omics data, including DNA, RNA, and epigenetics, at both individual and cellular scales. In this talk, I will share insights from my interdisciplinary research journey, which focuses on analyzing multi-omics data across populations and at the single-cell level, with an emphasis on eye and lung diseases. Central to this work is the development of innovative statistical and computational methods designed to address the challenges posed by large-scale, complex multi-omics datasets. These methods have played a crucial role in uncovering the genetic and molecular foundations of diseases and predicting their progression. By integrating insights across scales—from the cellular microenvironment to population-wide trends—our research aims to bridge critical gaps in biomedical science and advance the field of personalized medicine.