Jungmin Shin

I am a Postdoctoral Researcher in the Department of Biomedical Informatics at The Ohio State University, working with Dr. Dongjun Chung. I received my Ph.D. in Statistics from Korea University under Dr. Seung Jun Shin, my M.S. in Statistics from Purdue University, and B.S. in Mathematics from Korea Military Academy.

My methodological research spans high-dimensional statistics, sufficient dimension reduction, statistical deep learning, and spatial statistics, with applications to bulk RNA-seq, single-cell and spatial omics, and multi-omics integration. I also serve as a biostatistician for immuno-oncology studies at OSU, working with longitudinal biomarkers, survival outcomes, cytokine assays, spectral flow cytometry, scRNA-seq, TCR-seq, Visium HD, and Stereo-seq.

Before my current academic research career, I served in the Republic of Korea Army for 14 years (retired Major) and taught mathematics and statistics at the Korea Military Academy.

Research interests

• Spatial & single-cell omics — study design, power analysis, spatial statistics, multi-sample modeling, cell-type deconvolution, and reproducible bioinformatics.
• High-dimensional statistics — sufficient dimension reduction, sparse estimation, variable selection, and computationally efficient inference.
• Statistical machine learning — deep learning for nonlinear regression, quantile regression, classification, and interpretable biomedical learning.
• Collaborative biostatistics — immuno-oncology, longitudinal biomarkers, survival analysis, cytokines, TCR-seq, spectral flow cytometry, and multi-omics.

Selected software & projects

• spaCraft — calibrated power analysis and sample-size planning for multi-sample spatial transcriptomics.
• psvmSDR — R implementation of unified principal-machine sufficient dimension reduction.
• ppmSDR — penalized principal machines for sparse sufficient dimension reduction.
• DCQR — deep composite quantile regression methodology.

Recent academic activities

• JSM 2026, Boston — contributed oral presentation on spaCraft.
• IMS New Researchers Conference 2026, UMass Amherst — selected participant and lightning talk on spaCraft.
• 1st IMS International New Researchers Conference 2025, Seville — presentation on penalized principal machines.
• 2026 ASCO Annual Meeting and ESMO 2026 Congress — lead-biostatistician work in R/M HNSCC biomarker studies.

For the complete record, see Research & Publications or my CV.