Dr Ruoyu Miao
Biography
Dr Ruoyu Miao is a Senior Postdoctoral Fellow at the Wellcome Sanger Institute, jointly affiliated with the University of Cambridge. Her research lies at the intersection of biostatistics, machine learning and computational biology, with a particular focus on women鈥檚 health, diabetes and precision medicine. She develops innovative statistical and computational methods to integrate complex biomedical datasets, including proteomics, metabolomics and spatial transcriptomics, to uncover disease mechanisms, identify clinically relevant biomarkers and improve early disease prediction. Her research has contributed to advancing the understanding and early prediction of pregnancy complications. Her work on Isthmin-2, published in , demonstrated its essential role in extravillous trophoblast invasion and its potential as a first-trimester predictor of pre-eclampsia and fetal growth restriction. The research was also featured in and highlighted by the . With patent applications and technology licensing supporting its translational potential, this work exemplifies her commitment to translating statistical and computational discoveries into meaningful clinical applications. Alongside her research, Dr Miao is committed to teaching, mentoring and interdisciplinary collaboration. She is an Associate Fellow of Advance HE (AFHEA) and has experience in statistics teaching, student supervision and individual mentoring. Her international academic engagement includes chairing sessions at EcoSta. She also contributes to peer review, interdisciplinary research collaboration and public engagement, sharing scientific knowledge with a broad audience.
Specific Research Interests
Statistical and computational methods for integrating proteomic, metabolomic and spatial transcriptomic data; women's health and pregnancy complications; diabetes; biomarker discovery; early disease prediction and precision medicine.
Degrees
PhD in Statistics, University of Manchester
Honours
Associate Fellow of Advance HE (AFHEA)
Major Awards and Prizes
School Scholarship for doctoral research in Statistics, University of Manchester