flowchart TD
    subgraph Theory[" 🧮 THEORETICAL FOUNDATIONS "]
        DM[Diffusion Models<br/>Statistical Physics & ML<br/>Prof. Gherardi - UniMi]
    end
    
    subgraph Methods[" ⚙️ METHOD DEVELOPMENT "]
        TGCN[Temporal Graph Networks<br/>Financial Prediction<br/>Prof. Zignani - UniMi]
        CGM[CGM Validation<br/>Pediatric Obesity Study<br/>Prof. Aiello - UniPV]
    end
    
    subgraph Application[" 🎯 CLINICAL APPLICATION "]
        MMIO[Multimodal Immunotherapy<br/>NSCLC Prediction<br/>Dr. Miskovic - PoliMi]
    end
    
    subgraph Synthesis[" 💡 RESEARCH SYNTHESIS "]
        PHD[ Research Vision<br/>Principled ML for<br/>Computational Sciences ]
    end

    DM -->|Training dynamics| MMIO
    TGCN -->|Structured data| MMIO
    CGM -->|Biomedical knowledge| MMIO
    
    DM -->|Theory| PHD
    TGCN -->|Graphs| PHD
    CGM -->|Clinical| PHD
    MMIO -->|Multimodal| PHD

flowchart LR
    subgraph CB[" 🧬 Computational Biology "]
        CB1[Single-cell Analysis]
        CB2[Spatial Omics]
        CB3[Perturbation Prediction]
    end
    
    subgraph DGM[" 🎲 Deep Generative Models "]
        DGM1[Diffusion Models]
        DGM2[VAEs]
        DGM3[Flow Matching]
    end
    
    subgraph ML[" 🔀 Multimodal Learning "]
        ML1[Cross-modal Fusion]
        ML2[Uncertainty Propagation]
        ML3[Modality Weighting]
    end
    
    subgraph PML[" 📐 Probabilistic ML "]
        PML1[Causal Discovery]
        PML2[Uncertainty Quantification]
        PML3[Bayesian Methods]
    end
    
    CENTER((Research<br/>Vision))
    
    CB --- CENTER
    DGM --- CENTER
    ML --- CENTER
    PML --- CENTER