Moving from wet-lab immunology into computational neuroscience. I build methods that infer cellular identity, state, and interaction from large, incomplete single-cell and spatial data. Objective: connect molecular cell identity to circuit structure and function by integrating connectomics with transcriptomics, growing into connectome-constrained circuit models.
01Reyes M*, Green R*, Alvarez T*, et al. "Conserved PDE9X short-isoform bias defines pathogenic Th1.17 state across human inflammatory diseases." Nature ImmunologyIF 27.7· under review 2026. UMI-aware BAM-level isoform analysis; scRNA + scTCR + snATAC; ML classifier AUC 0.812; 702 samples, 251,055 CD4⁺ T cells.
02Green R*, Tanaka Y*, Truong P*, et al. "Infiltrated CD8⁺ T resident memory cells and meningeal lymphatic endothelium in Parkinson's disease." J. NeuroimmunologyIF 2.9 · 2025. 9,240 cells, 8 immune populations.
03Green R*, Delgado J*, Moreau S, et al. "Deciphering Dysfunctional Regulatory T Cells in Vitiligo." AllergyIF 12.6 · 2025.
04Alvarez J*, Green R*, et al. "Long-term diabetes control by a baricitinib-based regimen after allo-islet transplantation in rhesus monkeys." XenotransplantationIF 3.9 · 2024.
05Novak L*, Green R*, et al. "Intra-tumoral heterogeneity and immune escape of melanoma from chronic UV photodamage." JEADVIF 9.2 · 2022.