Ziqi Zhang

Degrees

• PhD in Computational Science and Engineering, Georgia Institute of Technology, USA (2025)
• MSc in Computational Science and Engineering, Georgia Institute of Technology, USA (2023)
• Bachelor of Electronic and Information Engineering, Beihang University, Beijing, China (2019)

Research interests

• Machine learning
• Computational biology
• Single-cell sequencing data
• Algorithms for high-throughput multi-omics biological data

Research description

Professor Zhang’s research lies at the intersection of machine learning and computational biology, with a focus on developing methods for large-scale single-cell sequencing data. He studies representation learning across modalities and conditions, predictive modeling of cellular responses to perturbations, gene regulatory and cellular interaction network inference to uncover functional mechanisms, and the development of single-cell foundation models pretrained on large biological atlases. His long-term goal is to build interpretable computational models that capture biological heterogeneity and enable clinically relevant prediction at the patient level.

Publications

Ziqi Zhang on Google Scholar