Speaker Profile


Dr. Liang is passionate about developing diagnostic and therapeutic solutions for pregnancy complications. She globally characterized thousands of molecular features from small amounts of blood and urine samples from pregnant women, and developed tests based on only a few biomarkers from a mother’s blood or urine using machine learning. Her work has been published in Cell, and she co-authored over a dozen publications. She is a Co-Awardee in Maternal, Neonatal, and Child Health from the Gates Foundation. Beyond prediction, Dr. Liang has focused on drug screening and identified novel therapeutic candidates for preterm birth. With personal experience of preterm labor, Dr. Liang’s mission is to improve maternal and child health by reducing pregnancy complications. She received postdoctoral training at Stanford University, holds degrees from Tsinghua University and Stowers Institute for Medical Research, and is also a graduate of the Ignite program at the Graduate School of Business of Stanford University.

Molecular Profiling in Pregnancy: From Prediction to Intervention

 Session Abstract – PMWC 2022 Silicon Valley

Track 3, June 29