Scholar
Qiao Liu
Google Scholar ID: StBWeZgAAAAJ
Stanford University
Citations & Impact
Citations
1,501
H-index
19
i10-index
27
Publications
20
Co-authors
7
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- An AI-powered Bayesian generative modeling approach for causal inference in observational studies (2025, JASA in revision)
- Multi-modal Diffusion Model with Dual-Cross-Attention for Multi-Omics Data Generation and Translation (2025, Nat. Commun. in revision)
- Leveraging genomic large language models to enhance causal genotype-brain-clinical pathways in Alzheimer’s disease (2024, medRxiv)
- An encoding generative modeling approach to dimension reduction and covariate adjustment in causal inference with observational studies (2024, PNAS)
- EpiGePT: a pretrained transformer-based language model for context-specific human epigenomics (2024, Genome Biology)
- Simultaneous deep generative modelling and clustering of single-cell genomic data (2021, Nature Machine Intelligence)
- Density estimation using deep generative neural networks (2021, PNAS)
Research Experience
- Currently working at the Liu Lab @ Yale, focusing on developing AI-powered computational frameworks for biomedical and statistical research.
Background
- Research interests include Generative AI, Genomics, Computational Biology, Causal Inference, Aging, and Bayesian Computation.
Miscellany
- The lab is situated at the intersection of AI, statistics, and biology, dedicated to developing novel computational frameworks for unraveling the complexities of biomedical data, paving the way for groundbreaking discoveries in computational biology and biomedical informatics.
