Publications

PREPRINTS 

Simeonov, D.R.*, Park, K.*, Cortez, J.T., Young, A., Li, Z., Nguyen, V., Umhoefer, J., Indart, A.C., Woo, J.M., Anderson, M.S., et al. (2023). Non-coding sequence variation reveals fragility within interleukin 2 feedback circuitry and shapes autoimmune disease risk. Preprint at bioRxiv, 10.1101/2023.06.17.545426 10.1101/2023.06.17.545426. (Under review)

Park, K., Prüstel, T., Lu, Y., and Tsang, J. S. (2019). Machine learning of stochastic gene network phenotypes. BioRxiv 825943. (Under revision) (https://github.com/pkm304/MAPPA)

JOURNAL ARTICLES 

Han, D., Lee, A.Y., Kim, T., Choi, J.Y., Cho, M.Y., Song, A., Kim, C., Shim, J.H., Kim, H.J., Kim, H., D'Angio, H.B., Preska, R., Mayer, A.T., Kim, M., Choi, E.-J., Kim, T.-G., Shin, E.-C., Park., K., Kim, D.-Y., Kim, S.-C., Kim, J.H. (2023). Microenvironmental network of clonal CXCL13+ CD4+ T cells and Tregs in pemphigus chronic blisters. J Clin Invest 133. 10.1172/JCI166357. 

Tripathi, S. †, Tsang, J.S. †, Park, K. † (2023). Systems immunology of regulatory T cells: can one circuit explain it all? Trends in Immunology 44, 766-781. 10.1016/j.it.2023.08.007.

Kim, J.S., Lee, S., Yee, J., Park, K., Jang, E.J., Chang, B.C., and Gwak, H.S. (2023). Novel Gene Polymorphisms for Stable Warfarin Dose in a Korean Population: Genome-Wide Association Study. Biomedicines 11, 2308. 10.3390/biomedicines11082308. 

Jung, S.*, Park, K.*, Kim, M., Chae, D., Koo, B.-N. (2022). Predicting graft failure in pediatric liver transplantation based on early biomarkers using machine learning models. Sci Rep 12, 22411.

Park, K., Choi, S. J., Shin, E.-C. (2022). Omicron Subvariants Substantially Preserve T-Cell Epitopes 1 of Ancestral SARS-CoV-2. Immune Network 22. 

Park, S.*, Park, K.*, Lee, J. G., Choi, T. Y., Heo, S., Koo, B.-N., Chae, D. (2022). Development of machine learning models predicting estimated blood loss during liver transplant surgery. Journal of Personalized Medicine 12, 1028. 

Park, K.*, Kim, Y.*, Son, M., Chae, D., Park, K. (2022). A pharmacometric model to predict chemotherapy-induced myelosuppression and associated risk factors in non-small cell lung cancer. Pharmaceutics 14, 914. (https://pkm304.shinyapps.io/NSCLC_neut/)

Park, K.*, Kim, N. Y.*, Kim, K. J., Oh, C., Chae, D., Kim, S. Y. (2022). A simple risk scoring system for predicting the occurrence of aspiration pneumonia after gastric endoscopic submucosal dissection. Anesthesia & Analgesia 134, 114–122. 

Chae, D., Kim, N. Y., Kim, K.J., Park, K., Oh, C., and Kim, S. Y. (2021). Predictive models for chronic kidney disease after radical or partial nephrectomy in renal cell cancer using early postoperative serum creatinine levels. Journal of Translational Medicine 19, 307. 

Wong, H. S., Park, K., Gola, A., Baptista, A. P., Miller, C. H., Deep, D., Lou, M., Boyd, L. F., Rudensky, A. Y., Savage, P. A., Altan-Bonnet, G., Tsang, J. S., Germain, R. N. (2021). A local regulatory T cell feedback circuit maintains immunological homeostasis by pruning self-activated T cells. Cell 184, 3981-3997.e22. (https://github.com/pkm304/multiscale_t_cell_activation)

Martins, A. J., Narayanan, M., Prüstel, T., Fixsen, B., Park, K., Gottschalk, R. A., Lu, Y., Andrews-Pfannkoch, C., Lau, W. W., Wendelsdorf, K. V., Tsang, J. S. (2017). Environment tunes propagation of cell-to-cell variation in the human macrophage gene network. Cell Syst. 4, 379–392.e12. 

*: co-first authorship, †: co-corresponding authorship. 

IN PREPARATION

Park, K. et al., The immune system as a many-body system: linkage between microscopic randomness and macroscopic determinism. (Ph.D. Dissertation Chapter 2)

Park, K. et al., Quantitative dissection of immune homeostasis using multiscale modeling approaches. (Ph.D. Dissertation Chapter 4) 

Ph.D. Dissertation

Scalable Modeling Approaches in Systems Immunology (https://doi.org/10.13016/7hok-aaxq)