Anqi Liu, PhD, MD

Anqi Liu is an instructor at Tulane University with a strong foundation in biomedical informatics, biostatistics, and medicine. Her research leverages her medical background and statistical expertise to interpret complex data, particularly in whole genome sequencing (WGS), transcriptome-wide association studies (TWAS), multi-omics data integration, single-cell sequencing data, and spatial transcriptomics. She focuses on constructing influential models using machine learning, artificial intelligence, and advanced deep learning techniques. Her current research primarily aims to discover significant biomarkers and causal mechanisms underlying complex human diseases, especially those related to aging, such as osteoporosis and Alzheimer's disease. Additionally, she is working on developing innovative methods in biomedical informatics that are crucial for omics imputation and subsequent analyses.