معرفی
Dr. Yi Qiao is a researcher in the Department of Biomedical Informatics at the University of Utah School of Medicine. His work focuses on integrating computational methods with genomic data to study cancer evolution, tumor subclonal dynamics, and precision oncology. Key contributions include developing tools like SubcloneSeeker, quickBAM, and Gene.iobio for analyzing genomic variants and clinical data.
Education:
- PhD in Biomedical Informatics from Boston College
- BS from Zhejiang University
Research Interests:
Dr. Qiao's research bridges computational biology and clinical oncology. He develops innovative methods to dissect tumor heterogeneity using single-cell and bulk sequencing, with applications in drug response prediction and therapy selection. His work emphasizes understanding how subclonal populations evolve in cancers like leukemia and lung cancer, and how this informs targeted treatments.
Key Projects:
- Framework for combining bulk DNA and single-cell RNA sequencing to study tumor expression (Genome Res, 2024)
- quickBAM API for high-throughput sequence analysis (Bioinformatics, 2023)
- ScreenDL deep learning model for drug response prediction (2024)
Grants & Collaborations:
His research is supported by collaborations with oncology teams and computational biology groups, focusing on translational applications of genomic data. Tools like Taxonomer and bam.iobio have advanced clinical diagnostics through real-time genomic analysis.
Labs & Teams:
He leads the Computational Oncology Lab, specializing in developing AI-driven tools for precision medicine. Active in cross-disciplinary teams at the University of Utah Health's cancer research initiatives.
