Jungmin Shin

Research & Publications

Grouped by research area — click a heading to collapse it. For citation metrics and the most recent indexing, see my Google Scholar profile.

I. Statistical Methodology

Peer-reviewed journal articles
  1. Penalized principal machines for sufficient dimension reduction and its efficient computation
    J. Shin, S. J. Shin (2027). Computational Statistics & Data Analysis, 226, 108483. DOICRAN
  2. psvmSDR: An R Package for a Unified Algorithm for Sufficient Dimension Reduction via Principal Machines
    J. Shin, S. J. Shin, A. Artemiou (2026). The R Journal, 18(3), 55–71. DOIarXivCRAN
  3. A least distance estimator for a multivariate regression model using deep neural networks
    J. Shin, S. J. Shin, S. Bang (2025). Journal of Statistical Computation and Simulation, 95(10), 2308–2325. DOI
  4. Simultaneous estimation and variable selection for a non-crossing multiple quantile regression using deep neural network
    J. Shin, S. Gwak, S. J. Shin, S. Bang (2024). Statistics and Computing, 34, 102. DOI
  5. Concise overview of principal support vector machine
    J. Shin, S. J. Shin (2024). Communications for Statistical Applications and Methods, 31(2), 235–246. DOI
  6. Penalized least distance estimator in the multivariate regression model
    J. Shin, J. Kang, S. Bang (2024). The Korean Journal of Applied Statistics, 37(1), 1–12. DOI
  7. The LSTM-based algorithm for detecting vessel abnormal behaviors
    H. Kim, J. Shin* (2022). Korean Journal of Military Art and Science, 78(2), 471–495. DOI
  8. A comparison study of inverse censoring probability weighting in censored regression
    J. Shin, H. Kim, S. J. Shin (2021). The Korean Journal of Applied Statistics, 34(6), 957–968. DOI

Peer-reviewed conference proceeding
  1. Privacy-preserving face redaction using crowdsourcing
    A. B. Alshaibani, S. T. Carrell, L.-H. Tseng, J. Shin, A. Quinn (2020). Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 8, 13–22. Full paper. DOI

Book
  1. Introduction to Statistics and Its Application with R
    J. Shin, J. Kang, Y. Lee, S. Bang (2022). Kyowoo. ISBN 979-11-251-0339-4. Book page

Manuscripts under review and revision
  1. spaCraft: Calibrated power analysis and sample-size planning for multi-sample spatial transcriptomics
    J. Shin, J. Xie, X. Jin, Q. Ma, D. Chung (2026). Under review at Genome Biology. bioRxivGitHub
  2. Penalized deep support vector machines for nonlinear classification and variable selection
    J. Shin, D. Chung, S. Bang (2026). Revision submitted to Statistical Analysis and Data Mining: An ASA Data Science Journal.
  3. SpaDesign: Simulation-based framework for determining sequencing depth for spatial transcriptomics experiments Co-first author
    J. Xie†, J. Shin†, H. Jeon, W. Chang, K. J. Jung, Y. Jeon, Z. Li, Q. Ma, D. Chung (2026). Revision submitted to PLOS Computational Biology.
  4. Circular data analysis in spatial omics
    J. Shin, J. Yoo, Y. Cho, A. Gupta, P.-H. Mao, K. Thakkar, T. Amireddy, K. J. Jung, J. Y. Kim, H. Jeon, J. Xie*, D. Chung* (2026). Under review at Briefings in Bioinformatics.
  5. VeteranST: Transcriptional Variability and Gene Co-Expression Analysis in Spatial Transcriptomics
    J. Kim, K. Jung, J. Shin, D. Chung*, S. Shin* (2026). Under review at Bioinformatics.
  6. SpatialNetworkMediation: a framework for mediation analysis of spatial transcriptomic data
    S. Lee, J. Shin, D. Chung, I. H. Jin* (2026). Under review at Bioinformatics.
  7. CellPacman: An interpretable machine-learning pipeline for phenotypic discovery and dose–response characterization of Cell Painting assays Co-first author
    M. Kotian†, J. Shin†, …, D. Chung (2026). Under review at Bioinformatics.
  8. A unified framework of penalized deep composite quantile regression for simultaneous function estimation and variable selection
    J. Shin, D. Chung, S. J. Shin, S. Bang (2025). Under review at Statistics and Computing.

II. Biomedical and Collaborative Research

Peer-reviewed conference abstracts
  1. Biomarker-driven exploratory clustering of cytokine and hematologic profiles in a Phase II trial of metronomic chemotherapy plus cemiplimab in R/M HNSCC
    M. R. Bonomi, J. Shin, M. Sikorski, M. T. Cunha, R. Teodorescu, B. Klamer, J. Pan, R. Fahad, Y. Bao, Y. Guo, W. Yang, J. Hwang, E. Gogineni, S. Zhu, S. Y. Kang, J. W. Rocco, D. Blakaj, P. Bhateja, D. Chung, M. P. Rubinstein. ESMO 2026 Congress, Madrid, Spain, Oct. 2026. Accepted e-Poster, Abstract No. 4631.
    Contribution: Lead biostatistician; conducted UMAP-HDBSCAN clustering, cluster characterization, and biomarker-survival association analyses.
  2. Cytokine analysis in a Phase II trial of metronomic carboplatin/paclitaxel plus cemiplimab for recurrent/metastatic head and neck squamous cell carcinoma
    M. R. Bonomi, J. Shin, M. T. Cunha, F. Rind, J. Hwang, E. Gogineni, S. Zhu, S. Kang, J. Rocco, D. Blakaj, P. Bhateja, D. Chung, M. Rubinstein. 2026 ASCO Annual Meeting, Chicago, IL, USA, May 2026. Poster Session: Head and Neck Cancer, Board 501, Abstract No. 6044. DOI
    Contribution: Lead biostatistician; conducted longitudinal cytokine analyses, response-group comparisons, multiplicity-adjusted testing, and survival association analyses.
  3. Safety and immunomodulatory effects of siltuximab prophylaxis prior to standard-of-care CD19-directed chimeric antigen receptor T-cell therapy for B-cell lymphomas: Final Phase I trial results
    N. Denlinger, N. Song, …, J. Shin, …, T. Voorhees. 67th ASH Annual Meeting, Dec. 2025. Published abstract in Blood, 146, 2385. DOI
    Contribution: Lead biostatistician; conducted time-matched cohort comparisons of spectral flow cytometry, cytokine, clinical-response, and survival data.
  4. Decoding immune suppression in Merkel cell carcinoma through integrated spatial transcriptomics and multiplex proteomics
    S. Priya, Y. Koguchi, R. Teodorescu, K. J. Jung, J. Shin, D. Chung, …, M. P. Rubinstein. Society for Immunotherapy of Cancer 40th Annual Meeting, Maryland, USA, Nov. 2025. Poster, Publication No. A106. Publication
    Contribution: Lead biostatistician; integrated and analyzed spatial transcriptomics and multiplex proteomics data.

Clinical manuscripts under review
  1. Phase I study assessing the safety and immunomodulatory effects of prophylactic siltuximab prior to standard-of-care CD19-directed chimeric antigen receptor therapy Co-first author
    N. Denlinger†, J. Shin†, N. Song, …, D. Chung, M. P. Rubinstein, Z. Li, M. de Lima, P. Caimi, T. Voorhees* (2026). Under review at Blood.
    Contribution: Lead statistician; performed all statistical analyses, including linear mixed-effects models, survival analysis, multivariate regression, and longitudinal data analysis.
  2. Clinical and genomic predictors of hyperprogression in recurrent/metastatic head and neck cancer: Discovery and validation Co-first author
    N. Mladkova-Suchy†, K. Dibs†, J. Shin†,…, P. Bhateja, M. Bonomi*, D. Blakaj* (2026). Under review at JAMA Network Open.
    Contribution: Lead biostatistician responsible for conceptualization and all statistical analyses.

In preparation
  1. Sparse and Stable Response-Sufficient Representations for Single-Cell Omics
    J. Shin (2026). In preparation.
  2. Spatial Principal Machines for Sparse Sufficient Dimension Reduction
    J. Shin, D. Chung (2026). In preparation.

* Corresponding author. † Equal contribution. Ellipses indicate omitted coauthors.