Liang Liang (OBGYN)
Medical College of Wisconsin, USA
Host: Thomas Vogl
Programm
Unveiling the Molecular Clock of Pregnancy through Longitudinal Metabolomic Profiling
Pregnancy is a dynamic biological process, yet one in four to five women experiences complications, many of which remain unpredictable and untreatable, posing risks to both mother and child. In this talk, Dr. Liang will present how metabolomics from maternal blood and urine samples - coupled with machine learning - enables the discovery of molecular signatures that define the “molecular clock” of pregnancy. By leveraging large-scale omics profiling, we aim to develop predictive models for maternal complications and identify novel therapeutic targets. This approach paves the way for precision medicine in maternal health, transforming early discovery to potential diagnosis and intervention strategies.
About the speaker:
Liang Liang, Ph.D., is an Assistant Professor at the Medical College of Wisconsin, specializing in maternal-infant health and precision medicine. With extensive experience in multi-omics research, she has led projects spanning metabolomics, microbiome studies, and computational biomarker discovery for pregnancy-related conditions. She has collaborated with leading institutions worldwide and secured funding from organizations like the Bill & Melinda Gates Foundation and the NIH. In addition to her research, she plays an active leadership role in scientific communities, including the Gordon Research Conferences. Her work has been featured in high-impact journals such as Cell and Nature, as well as on the covers of Cold Spring Harbor Laboratory publications.