Hongyu Miao, PhD
Professor, C-PSHE Director of Data Science & Digital Intelligence (DSDI)
Dr. Miao's research focuses on developing methods to learn interpretable patterns and mechanisms for population and individual health improvement. His expertise spans clinical trial design, machine learning of neuroimaging and multimodal data, and big healthcare data analysis. Applications include cancer, neural disorders, infectious diseases, and digital health.
Research Areas
Publications
- “Regional Volume and Regional Fibrosis Add Significant Information to the Prediction of Atrial Fibrillation Recurrence Using Machine Learning Model”, JACC, Mar-25 [Visit Publication]
Presentations
- "Developing Non-Euclidean Methods for Statistical Analysis of Neuroimaging Data: A Network Point of View", The 9th Workshop of Biostatistics and Bioinformatics, May-24
Awards
- 2021 - Best Paper Award