Gang Qu, Ph.D.

Postdoctoral Research Fellow

McWilliams School of Biomedical Informatics, Center for Precision Health, UTHealth Houston
PI: Dr. Zhongming Zhao (BSML)

My research focuses on developing advanced computational methods at the intersection of imaging informatics, graph neural networks, and computational biology. I develop novel deep learning frameworks for brain functional connectivity analysis, multi-omics data integration, and clinical AI applications. My work bridges neuroimaging and genomics to advance precision medicine.

CV Resume Google Scholar

Research Interests

Imaging Informatics

Graph-based deep learning for brain functional connectivity analysis and neuroimaging biomarker discovery.

Computational Biology

Multi-omics integration and genomic data analysis for understanding disease mechanisms.

Graph Deep Learning

Novel graph neural network architectures for structured biomedical data and network analysis.

Clinical AI

AI-driven digital pathology and clinical decision support for cancer diagnosis and treatment.

Collaborating Institutions

UTHealth Houston

McWilliams School of Biomedical Informatics

Merck & Co.

BARDS

Tulane University

MBB Lab & CBG Center

Georgia Tech

TReNDS Center

Boys Town National Research Hospital

DICoN Lab

Mind Research Network

Neuroimaging

News & Updates

2025 — Paper on BrainGeneBot published in Briefings in Bioinformatics.
2025 — Paper on integrated brain connectivity analysis published in Medical Image Analysis.
2024 — Awarded CPRIT BIG-TCR Fellowship (2024–2026) from the Cancer Prevention and Research Institute of Texas.
2024 — Joined UTHealth Houston as Postdoctoral Research Fellow with Dr. Zhongming Zhao.
2024 — Defended Ph.D. dissertation at Tulane University.

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