Jing Zhang

Jing Zhang, Ph.D.

Associate Professor of Computer Science

University of California, Irvine

Affiliations

  • Artificial Intelligence in Science Institute
  • Center for Neural Circuit Mapping
  • Center for Complex Biological Systems

Jing Zhang develops AI and computational genomics methods to study gene regulation, disease-associated cellular states, and predictive perturbations. Her group combines methodological development with large-scale human genomics to investigate regulatory mechanisms and therapeutic targets.

Our lab develops AI and computational genomics methods to understand gene regulation, cellular states, and tissue organization in human disease. We build models for single-cell and spatial omics, integrate functional and regulatory genomics, and connect disease-associated molecular programs to perturbation and therapeutic discovery. We apply these approaches across complex disease, including psychiatric, neurodegenerative, substance-use, HIV-associated, and other human disease settings.

  1. AI & Machine Learning for Single-Cell and Spatial Genomics
  2. Gene Regulation & Functional Genomics
  3. Human Disease Genomics
  4. AI-Guided Perturbation & Therapeutic Discovery
  • TargetSage: Identifying Therapeutic Target Genes with Interpretable and Robust LLM Reasoning

    Ziheng Duan, Tong Wu, Xi Li, Simon Dongbo Sun, Chaoyang Wang, Junhao Liu, Martin Renqiang Min, Jing Zhang

    • AI/ML
    • Perturbation / Therapeutic Discovery
  • sMMC-22M: A Context-Aware Dataset and Benchmark for Single-Cell Spatial Transcriptomics

    Xi Li, Yaqi Hu, Ziheng Duan, Xinyi Wang, Simon Dongbo Sun, Diptanshu Sikdar, Yang Liu, Jing Zhang

    • AI/ML for Single-Cell & Spatial
  • MUGO: Differentiable Combinatorial Optimization for Causal Variant Discovery in the Non-coding Genome

    Simon Dongbo Sun, Junhao Liu, Pengcheng Xu, Yaqi Hu, Martin Jinye Zhang, Jing Zhang

    • Gene Regulation
    • Perturbation / Therapeutic Discovery