Jack Torrance, Ph.D.
Computational single-cell scientist, single-cell and spatial multi-omics toward connectome-scale neuroscience
220 Harbor Street, Boston, MA 02135/(555) 019-2847/jack.torrance@example.com/jacktorrance.example.com/cv

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 Sciences
Hangang National University, Seoul, Republic of Korea
Thesis: Mapping Dendritic Cell Heterogeneity Across Chronic Inflammatory Contexts. Advisor: Min-Ho Suh, M.D., Ph.D.
2014–2023
M.S., Biomedical Sciences
Hangang National University, Seoul
Thesis: Enhanced LPS-Induced Monocyte Activation by Recombinant Human Soluble CD180.
2012–2014
B.S., Genetic Engineering
Suwon Institute of Life Sciences, Suwon
2008–2012

Research and Professional Experience

Postdoctoral Researcher
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.
2025–2026
Associate Director
Meridian Immune Therapeutics Inc., Basic Research, Seoul
Built in-house single-cell and 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.
2023–2025
Manager, Basic Research
Meridian Immune Therapeutics Inc., Seoul
2021–2023
Researcher
Xenotransplantation Research Center, Hangang National University, Seoul
Rhesus macaque tissue processing, longitudinal immune monitoring, CNS (brain and spinal cord) tissue handling.
2019–2021
Research Student, MOSAIC (Multi-Organ Single-cell Atlas of Immune Cells)
Genomic Medicine Institute, Hangang National University
Contributed the founding proposal; executed within the funded program (500+ donors across 6 organs): milestone tracking, multi-site QC, multi-PI coordination.
2020–2023

Selected Publications

18 total papers17 peer-reviewed6 first / co-first1 under review
1.Reyes M*, Torrance J*, 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. Custom UMI-aware BAM-level analysis; scRNA + scTCR + snATAC integration; disease-state classifier AUC 0.812; 702 samples, 251,055 memory CD4 T cells.
2.Torrance J*, Tanaka Y*, Truong P*, et al. Immune cell-enriched scRNA-seq unveils the interplay between infiltrated CD8 T resident memory cells and meningeal lymphatic endothelial cells in Parkinson's disease. Journal of Neuroimmunology, IF 2.9, 2025. 9,240 cells, 8 immune populations.
3.Torrance J*, Delgado J*, Moreau S, et al. Deciphering Dysfunctional Regulatory T Cells in Vitiligo. Allergy, IF 12.6, 2025.
4.Alvarez J*, Torrance J*, et al. Long-term control of diabetes by baricitinib-based immunosuppressive regimen after allo-islet transplantation in diabetic rhesus monkeys. Xenotransplantation, IF 3.9, 2024.
5.Novak L*, Torrance J*, et al. Intra-tumoral heterogeneity and immune escape of melanoma arising from chronic UV photodamage revealed by spatial gene expression profiling. JEADV, IF 9.2, 2022.
6.Torrance J*, 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).

Technical Skills

Single-cell / spatial / multi-omic: scRNA-seq, scTCR-seq, snRNA/snATAC; Seurat, Scanpy, Squidpy, Monocle3, CellChat/NicheNet; scVI/scANVI, batch integration, consensus NMF, embedding geometry; custom UMI-aware BAM-level isoform code (Python); Milo KNN-graph DA, GLIPH, Shannon-entropy clonality, InferCNV, weighted-LMM/EMM; GeoMx DSP; Olink proteomics.
Machine learning / deep learning: Python (scikit-learn, XGBoost/LightGBM/CatBoost, PyTorch); AUC-validated classifiers; VAE/GAN/GNN; multimodal DL integration (imaging + transcriptomic + clinical); vision-language transformers; AlphaFold2/3, ProteinMPNN, DiffDock, MolFormer; Linux servers, R/RStudio, Git-based reproducible analysis.
Experimental: 10x 5'/3' scRNA + scTCR library generation; high-dimensional flow cytometry (up to 24 markers), 10-color 6-way FACS; brain/CNS immune profiling (perfusion, digestion, Percoll, CD45 FACS); IHC/IF (frozen and FFPE); two-photon microscopy; NHP CNS tissue (rhesus, cynomolgus, marmoset); EAE/MS and islet-transplant models.

Awards, Patents and Scholarships

Antagonistic Anti-CD25 Humanized Antibody (Patent 1020240091845)2024
Immunosuppression Composition with PI3K Inhibitor (Patent 1020143496217)2019
Grand Prize, AI Builders Hackathon (Project Nova Team)2024
Grand Prize, Metro Innovation Workathon2023
Best Poster, American Transplant Congress, Chicago2017
NRF Ph.D. Scholarship, BK21 Plus, HNU Dean's Support2014–2020

References

Min-Ho Suh, M.D., Ph.D.
Professor, HNU College of Medicine; CEO/CSO, Meridian Immune Therapeutics. Ph.D. advisor.
mhsuh@hangang.ac.kr
Ji-Won Baek, M.D., Ph.D.
Assistant Professor, Microbiology and Immunology / IBRI, HNU. Computational co-corresponding.
jwbaek@hangang.ac.kr
Dae-Ho Yoon, Ph.D.
Professor, Physiology, Nakdong University Wonju College of Medicine. Recent supervisor.
dhyoon@nakdong.ac.kr