Edmond Dantès, Ph.D.
Computational biologist · single-cell & spatial multi-omics into connectome-scale neuroscience

Profile

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. Research objective: connect molecular cell identity to circuit structure and function by integrating connectomics with transcriptomics, growing into connectome-constrained circuit models.

Education

Ph.D., Biomedical Sciences2014–2023
Hangang National University · Seoul, Republic of Korea
Thesis: Mapping Dendritic Cell Heterogeneity Across Chronic Inflammatory Contexts · Advisor: Min-Ho Suh, M.D., Ph.D.
M.S., Biomedical Sciences2012–2014
Hangang National University · Seoul
Thesis: Enhanced LPS-Induced Monocyte Activation by Recombinant Human Soluble CD180
B.S., Genetic Engineering2008–2012
Suwon Institute of Life Sciences · Suwon

Research & Professional Experience

Postdoctoral Researcher2025–2026
Nakdong University Wonju College of Medicine · Physiology / Cellular Systems Research Center
Developed deep-learning multimodal-integration models fusing imaging, transcriptomic, and clinical data into single predictive models.
Associate Director, Basic Research2023–2025
Meridian Immune Therapeutics Inc. · Seoul (Manager 2021–2023)
Built in-house single-cell & spatial transcriptomics analysis code from scratch; led cross-functional NHP (cynomolgus, marmoset) EAE/MS multi-omic studies; oversaw regulatory documentation for an anti-CD25 humanized-antibody program.
Researcher2019–2021
Xenotransplantation Research Center, HNU · Seoul
Rhesus macaque tissue processing, longitudinal immune monitoring, CNS (brain/spinal cord) tissue handling.
Research Student, MOSAIC2020–2023
Multi-Organ Single-cell Atlas of Immune Cells, Genomic Medicine Institute, HNU
Contributed the founding proposal; executed within the funded program (500+ donors × 6 organs): milestone tracking, multi-site QC, multi-PI coordination.

Selected Publications

1Reyes M*, Dantès E*, 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. scRNA + scTCR + snATAC integration; ML classifier AUC 0.812; 702 samples, 251,055 CD4⁺ T cells.
2Dantès E*, Tanaka Y*, Truong P*, et al. "Infiltrated CD8⁺ T resident memory cells and meningeal lymphatic endothelium in Parkinson's disease." Journal of Neuroimmunology IF 2.9 · 2025. 11,587 cells.
3Dantès E*, Delgado J*, Moreau S, et al. "Deciphering Dysfunctional Regulatory T Cells in Vitiligo." Allergy IF 12.6 · 2025.
4Alvarez J*, Dantès E*, et al. "Long-term control of diabetes by a baricitinib-based regimen after allo-islet transplantation in rhesus monkeys." Xenotransplantation IF 3.9 · 2024.
5Novak L*, Dantès E*, et al. "Intra-tumoral heterogeneity and immune escape of melanoma from chronic UV photodamage." JEADV IF 9.2 · 2022.
6Dantès E*, et al. "mTOR inhibitor-based immunosuppression in allogeneic islet transplantation." Islets IF 2.2 · 2019.
Co-author (selected): eBioMedicine (IF 11.1, 2024) · JEADV (IF 9.2, 2024) · Current Diabetes Reports (IF 4.2, 2021). Totals: 18 papers, 17 peer-reviewed, 6 first / co-first.

Technical Skills

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-dimensional flow cytometry (24 markers); brain/CNS immune profiling; IHC/IF; two-photon; NHP CNS tissue (rhesus, cynomolgus, marmoset); EAE/MS & islet-transplant models.