Current Research and Scholarly Interests
The Lu Lab develops and integrates AI, spatial multi-omics, and advanced imaging to understand and model how cells, tissues, and therapeutic agents interact in their native spatial context, and how these interactions drive disease progression and treatment response.
Current Research Areas:
• Joint spatial transcriptomics and spatial proteomics for mapping 2D and 3D tissue architecture in clinical samples
• Deep learning and generative AI models for spatial and spatiotemporal omics analysis
• Single-cell drug–target–microenvironment mapping in human tumors
• Mechanisms of cancer progression, immune evasion, and therapeutic resistance