ProfileThe Lead
I build methods that infer cellular identity, state, and interaction from large, incomplete single-cell and spatial data. My research objective is to connect molecular cell identity to circuit structure and function by integrating connectomics with transcriptomics, growing into connectome-constrained circuit models. Interests: single-cell and spatial multi-omics, cell-type inference from incomplete data, self-supervised representation learning, and computational neuroimmunology.
EducationRecord
Ph.D., Biomedical Sciences
Hangang National University 2014–2023
Thesis: Mapping Dendritic Cell Heterogeneity Across Chronic Inflammatory Contexts. Advisor: Min-Ho Suh, M.D., Ph.D.
M.S., Biomedical Sciences
Hangang National University 2012–2014
Thesis: Enhanced LPS-Induced Monocyte Activation by Recombinant Human Soluble CD180.
B.S., Genetic Engineering
Suwon Institute of Life Sciences, Suwon 2008–2012
ExperienceDispatches
Postdoctoral Researcher
Nakdong Univ. Wonju College of Medicine 2025–2026
Developed deep-learning multimodal-integration models fusing imaging, transcriptomic, and clinical data into single predictive models.
Associate Director
Meridian Immune Therapeutics, Basic Research 2023–2025
Built in-house single-cell and spatial transcriptomics code from scratch; led NHP (cynomolgus, marmoset) EAE/MS multi-omic studies; oversaw regulatory documentation for an anti-CD25 humanized-antibody program.
Researcher
Xenotransplantation Research Center, HNU 2019–2021
Rhesus macaque tissue processing, longitudinal immune monitoring, CNS (brain, spinal cord) tissue handling.
Research Student, MOSAIC
Genomic Medicine Institute, HNU 2020–2023
Contributed the founding proposal; executed within the funded program (500+ donors, 6 organs): milestone tracking, multi-site QC, multi-PI coordination.
Selected PublicationsThe Byline Column
18 total · 17 peer-reviewed · 6 first / co-first · 1 under review
01 Reyes M*, Weasley R*, Alvarez T*, et al. Conserved PDE9X short-isoform bias defines pathogenic Th1.17 state across human inflammatory diseases. Nature Immunology IF 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.
02 Weasley R*, Tanaka Y*, Truong P*, et al. Immune cell-enriched scRNA-seq unveils infiltrated CD8⁺ T resident memory cells and meningeal lymphatic endothelium in Parkinson's disease. Journal of Neuroimmunology IF 2.9 · 2025. 9,240 cells, 8 immune populations.
03 Weasley R*, Delgado J*, Moreau S, et al. Deciphering Dysfunctional Regulatory T Cells in Vitiligo. Allergy IF 12.6 · 2025.
04 Alvarez J*, Weasley R*, et al. Long-term control of diabetes by a baricitinib-based regimen after allo-islet transplantation in rhesus monkeys. Xenotransplantation IF 3.9 · 2024.
05 Novak L*, Weasley R*, et al. Intra-tumoral heterogeneity and immune escape of melanoma from chronic UV photodamage by spatial gene expression. JEADV IF 9.2 · 2022.
06 Weasley R*, et al. mTOR inhibitor-based immunosuppression in allogeneic islet transplantation. Islets IF 2.2 · 2019. Co-author: eBioMedicine (2024), JEADV (2024), Curr. Diabetes Reports (2021).
Technical SkillsInstruments
Single-cell / spatial / multi-omic. scRNA-seq, scTCR-seq, snRNA/snATAC; Seurat, Scanpy, Squidpy, Monocle3, CellChat/NicheNet; scVI/scANVI, consensus NMF; custom UMI-aware BAM-level isoform code (Python); Milo, GLIPH, InferCNV; GeoMx DSP; Olink proteomics.
Machine learning / DL / AI. Python (scikit-learn, XGBoost/LightGBM/CatBoost, PyTorch); AUC-validated classifiers; VAE/GAN/GNN; multimodal DL (imaging, transcriptomic, clinical); AlphaFold2/3, ProteinMPNN, DiffDock; Linux, R, Git.
Experimental. 10x 5′/3′ scRNA + scTCR libraries; high-dim flow cytometry (24 markers); brain/CNS immune profiling; IHC/IF; two-photon; NHP CNS tissue (rhesus, cynomolgus, marmoset); EAE/MS and islet-transplant models.