Sungyoung Shin

Sungyoung Shin

South Australian Immunogenomics Cancer Institute

Faculty of Health and Medical Sciences

Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.

I earned my Bachelor’s degree in Electronics (Feb. 2000), Master’s degree in Control Engineering (Feb. 2002), and PhD in Systems Biology (Aug. 2007) from the University of Ulsan, South Korea, supported by the Ministry of Science and Technology. Upon completing my PhD, I joined the Laboratory for Systems Biology and Bio-Inspired Engineering (SBIE) at KAIST (Korea Advanced Institute of Science and Technology) in Daejeon, South Korea. I was promoted to Assistant Research Professor in April 2009.
In 2013, I relocated to Ireland to join Systems Biology Ireland (SBI) at University College Dublin, where I served as a Research Scientist (2013–2014) and Marie Curie Fellow (2014–2015). From October 2015 to February 2025, I was with the Department of Biochemistry and Molecular Biology, School of Biomedical Science at Monash University, Australia.
In February 2025, I joined the South Australian immunoGENomics Cancer Institute (SAiGENCI) at the University of Adelaide as a Senior Research Fellow. My research interests focus on systems biology, computational modeling, and their applications in biomedical science.

  • Appointments
    Date Position Institution name
    2025 - ongoing Senior Research Fellow University of Adelaide
    2015 - 2025 Senior Research Fellow Monash University
    2015 - 2015 Visiting Fellow Gwangju Institute of Science and Technology
    2013 - 2015 Research Scientist University College Dublin
    2009 - 2013 Research Assistant Professor Korea Advanced Institute of Science and Technology
    2007 - 2009 Post-Doctoral Researcher Korea Advanced Institute of Science and Technology
    2003 - 2005 Sessional Lecturer University of Ulsan
    2002 - 2004 Sessional Lecturer Korea Polytechnic VII colleges
    1991 - 1998 Aircraft Maintenance Crew Chief Korean Air Force

  • Language Competencies
    Language Competency
    English Can read, write, speak, understand spoken and peer review
    Korean Can read, write, speak, understand spoken and peer review

  • Education
    Date Institution name Country Title
    2002 - 2007 University of Ulsan South Korea PhD
    2000 - 2002 University of Ulsan South Korea Master
    1997 - 2000 University of Ulsan South Korea Bachelor

  • Journals
    Year Citation
    2025 Yang, X., Ma, X., Zhao, T., Croucher, D. R., Nguyen, E. V., Clark, K. C., . . . Daly, R. J. (2025). Activation of CAMK2 by pseudokinase PEAK1 represents a targetable pathway in triple negative breast cancer. Nature Communications, 16(1), 1871-1-1871-19.
    DOI Europe PMC1
    2025 Lan, Y., Shin, S. Y., & Nguyen, L. K. (2025). From shallow to deep: The evolution of machine learning and mechanistic model integration in cancer research. Current Opinion in Systems Biology, 40, 11 pages.
    DOI Scopus2
    2024 Ghomlaghi, M., Theocharous, M., Hoang, N., Shin, S. Y., von Kriegsheim, A., O’ Neill, E., . . . Nguyen, L. K. (2024). Integrative modeling and analysis of signaling crosstalk reveal molecular switches coordinating Yes-associated protein transcriptional activities. iScience, 27(3), 20 pages.
    DOI Scopus5 Europe PMC4
    2024 Shin, S. Y., Chew, N. J., Ghomlaghi, M., Chüeh, A. C., Jeong, Y., Nguyen, L. K., & Daly, R. J. (2024). Integrative Modeling of Signaling Network Dynamics Identifies Cell Type–Selective Therapeutic Strategies for FGFR4-Driven Cancers. Cancer Research, 84(19), 3296-3309.
    DOI Scopus1 Europe PMC1
    2024 Yip, H. Y. K., Shin, S. Y., Chee, A., Ang, C. S., Rossello, F. J., Wong, L. H., . . . Papa, A. (2024). Integrative modeling uncovers p21-driven drug resistance and prioritizes therapies for PIK3CA-mutant breast cancer. npj Precision Oncology, 8(1), 20-1-20-21.
    DOI Scopus9 Europe PMC4
    2023 Shin, S. Y., Centenera, M. M., Hodgson, J. T., Nguyen, E. V., Butler, L. M., Daly, R. J., & Nguyen, L. K. (2023). A Boolean-based machine learning framework identifies predictive biomarkers of HSP90-targeted therapy response in prostate cancer. Frontiers in Molecular Biosciences, 10, 1094321-1-1094321-16.
    DOI Scopus5 WoS1 Europe PMC3
    2023 Yang, X., Cruz, M. I., Nguyen, E. V., Huang, C., Schittenhelm, R. B., Luu, J., . . . Daly, R. J. (2023). The pseudokinase NRBP1 activates Rac1/Cdc42 via P-Rex1 to drive oncogenic signalling in triple-negative breast cancer. Oncogene, 42(11), 833-847.
    DOI Scopus7 WoS1 Europe PMC7
    2021 Ghomlaghi, M., Yang, G., Shin, S., James, D. E., & Nguyen, L. K. (2021). Dynamic modelling of the PI3K/MTOR signalling network uncovers biphasic dependence of mTORC1 activity on the mTORC2 subunit SIN1. Plos Computational Biology, 17(9), 26 pages.
    DOI Scopus13 Europe PMC13
    2021 Chew, N. J., Lim Kam Sian, T. C. C., Nguyen, E. V., Shin, S. Y., Yang, J., Hui, M. N., . . . Daly, R. J. (2021). Evaluation of FGFR targeting in breast cancer through interrogation of patient-derived models. Breast Cancer Research, 23(1), 20 pages.
    DOI Scopus33 Europe PMC20
    2021 Ghomlaghi, M., Hart, A., Hoang, N., Shin, S., & Nguyen, L. K. (2021). Feedback, crosstalk and competition: Ingredients for emergent non‐linear behaviour in the pi3k/mtor signalling network. International Journal of Molecular Sciences, 22(13), 20 pages.
    DOI Scopus21 Europe PMC19
    2021 Kearney, A. L., Norris, D. M., Ghomlaghi, M., Wong, M. K. L., Humphrey, S. J., Carroll, L., . . . Burchfield, J. G. (2021). Akt phosphorylates insulin receptor substrate to limit pi3k-mediated pip3 synthesis. Elife, 10, e66942.
    DOI Scopus50 Europe PMC35
    2021 Norris, D., Yang, P., Shin, S. Y., Kearney, A. L., Kim, H. J., Geddes, T., . . . Burchfield, J. G. (2021). Signaling Heterogeneity is Defined by Pathway Architecture and Intercellular Variability in Protein Expression. Iscience, 24(2), 102118.
    DOI Scopus14
    2020 Verma, N., Muller, A. K., Kothari, C., Panayotopoulou, E., Kedan, A., Selitrennik, M., . . . Lev, S. (2020). Correction: Targeting of PYK2 synergizes with EGFR antagonists in basal-like TNBC and circumvents HER3-associated resistance via the NEDD4–NDRG1 axis (Cancer Research (2017) 77 (86–99) DOI: 10.1158/0008-5472.CAN-16-1797). Cancer Research, 80(2), 362.
    DOI Scopus1
    2020 Yip, H. Y. K., Chee, A., Ang, C. S., Shin, S. Y., Ooms, L. M., Mohammadi, Z., . . . Papa, A. (2020). Control of Glucocorticoid Receptor Levels by PTEN Establishes a Failsafe Mechanism for Tumor Suppression. Molecular Cell, 80(2), 279-295.e8.
    DOI Scopus17 Europe PMC14
    2019 Shin, S. Y., Kim, M. W., Cho, K. H., & Nguyen, L. K. (2019). Coupled feedback regulation of nuclear factor of activated T-cells (NFAT) modulates activation-induced cell death of T cells. Scientific Reports, 9(1), 15 pages.
    DOI Scopus11 Europe PMC8
    2019 Su, Z., Burchfield, J. G., Yang, P., Humphrey, S. J., Yang, G., Francis, D., . . . James, D. E. (2019). Global redox proteome and phosphoproteome analysis reveals redox switch in Akt. Nature Communications, 10(1), 18 pages.
    DOI Scopus101 Europe PMC86
    2018 Shin, S. Y., Müller, A. K., Verma, N., Lev, S., & Nguyen, L. K. (2018). Systems modelling of the EGFR-PYK2-c-Met interaction network predicts and prioritizes synergistic drug combinations for triple-negative breast cancer. Plos Computational Biology, 14(6), 30 pages.
    DOI Scopus27 Europe PMC17
    2017 Verma, N., Müller, A. K., Kothari, C., Panayotopoulou, E., Kedan, A., Selitrennik, M., . . . Lev, S. (2017). Targeting of PYK2 synergizes with EGFR antagonists in basal-like TNBC and circumvents HER3-associated resistance via the NEDD4-NDRG1 axis. Cancer Research, 77(1), 86-99.
    DOI Scopus60 Europe PMC52
    2016 Park, S. M., Shin, S. Y., & Cho, K. H. (2016). A regulated double-negative feedback decodes the temporal gradient of input stimulation in a cell signaling network. Plos One, 11(9), 17 pages.
    DOI Scopus3 Europe PMC2
    2016 Shin, S. Y., & Nguyen, L. K. (2016). Unveiling hidden dynamics of hippo signalling: A systems analysis. Genes, 7(8), 15 pages.
    DOI Scopus16 Europe PMC15
    2014 Lee, H. S., Hwang, C. Y., Shin, S. Y., Kwon, K. S., & Cho, K. H. (2014). MLK3 is part of a feedback mechanism that regulates different cellular responses to reactive oxygen species. Science Signaling, 7(328), 10 pages.
    DOI Scopus54 Europe PMC43
    2014 Shin, D., Kim, I. S., Lee, J. M., Shin, S. Y., Lee, J. H., Baek, S. H., & Cho, K. H. (2014). The hidden switches underlying RORα-mediated circuits that critically regulate uncontrolled cell proliferation. Journal of Molecular Cell Biology, 6(4), 338-348.
    DOI Scopus27 Europe PMC21
    2014 Shin, S. Y., Kim, T., Lee, H. S., Kang, J. H., Lee, J. Y., Cho, K. H., & Kim, D. H. (2014). The switching role of i 2-adrenergic receptor signalling in cell survival or death decision of cardiomyocytes. Nature Communications, 5(1), 13 pages.
    DOI Scopus55 Europe PMC44
    2013 Chaudhary, S. U., Shin, S. Y., Lee, D., Song, J. H., & Cho, K. H. (2013). ELECANS - An integrated model development environment for multiscale cancer systems biology. Bioinformatics, 29(7), 957-959.
    DOI Scopus2 Europe PMC2
    2012 Won, J. K., Yang, H. W., Shin, S. Y., Lee, J. H., Heo, W. D., & Cho, K. H. (2012). The crossregulation between ERK and PI3K signaling pathways determines the tumoricidal efficacy of MEK inhibitor. Journal of Molecular Cell Biology, 4(3), 153-163.
    DOI Scopus61 Europe PMC54
    2011 Shin, S. Y., Yang, H. W., Kim, J. R., Heo, W. D., & Cho, K. H. (2011). A hidden incoherent switch regulates RCAN1 in the calcineurin-NFAT signaling network. Journal of Cell Science, 124(1), 82-90.
    DOI Scopus44 Europe PMC39
    2011 Chaudhary, S. U., Shin, S. Y., Won, J. K., & Cho, K. H. (2011). Multiscale modeling of tumorigenesis induced by mitochondrial incapacitation in cell death. IEEE Transactions on Biomedical Engineering, 58(10 PART 2), 3028-3032.
    DOI Scopus6 Europe PMC4
    2010 Shin, S. Y., Rath, O., Zebisch, A., Choo, S. M., Kolch, W., & Cho, K. H. (2010). Functional roles of multiple feedback loops in extracellular signal-regulated kinase and Wnt signaling pathways that regulate epithelial-mesenchymal transition. Cancer Research, 70(17), 6715-6724.
    DOI Scopus129 Europe PMC108
    2010 Murray, P. J., Kang, J. W., Mirams, G. R., Shin, S. Y., Byrne, H. M., Maini, P. K., & Cho, K. H. (2010). Modelling spatially regulated β-catenin dynamics and invasion in intestinal crypts. Biophysical Journal, 99(3), 716-725.
    DOI Scopus50 Europe PMC35
    2009 Shin, S. Y., Rath, O., Choo, S. M., Fee, F., McFerran, B., Kolch, W., & Cho, K. H. (2009). Positive- and negative-feedback regulations coordinate the dynamic behavior of the Ras-Raf-MEK-ERK signal transduction pathway. Journal of Cell Science, 122(3), 425-435.
    DOI Scopus154 Europe PMC117
    2008 Shin, S. Y., Choo, S. M., Woo, S. H., & Cho, K. H. (2008). Cardiac systems biology and parameter sensitivity analysis: Intracellular Ca2+ regulatory mechanisms in mouse ventricular myocytes. Advances in Biochemical Engineering Biotechnology, 110, 25-45.
    DOI Scopus11 Europe PMC7
    2008 Kim, T. H., Shin, S. Y., Choo, S. M., & Cho, K. H. (2008). Dynamical analysis of the calcium signaling pathway in cardiac myocytes based on logarithmic sensitivity analysis. Biotechnology Journal, 3(5), 639-647.
    DOI Scopus12 Europe PMC6
    2008 Shin, S. Y., Yang, J. M., Choo, S. M., Kwon, K. S., & Cho, K. H. (2008). System-level investigation into the regulatory mechanism of the calcineurin/NFAT signaling pathway. Cellular Signalling, 20(6), 1117-1124.
    DOI Scopus13 Europe PMC10
    2006 Shin, S. Y., Choo, S. M., Kim, D., Baek, S. J., Wolkenhauer, O., & Cho, K. H. (2006). Switching feedback mechanisms realize the dual role of MCIP in the regulation of calcineurin activity. FEBS Letters, 580(25), 5965-5973.
    DOI Scopus35 Europe PMC28
    2005 Cho, K. H., Shin, S. Y., & Choo, S. M. (2005). Unravelling the functional interaction structure of a cellular network from temporal slope information of experimental data. FEBS Journal, 272(15), 3950-3959.
    DOI Scopus3 Europe PMC2
    2003 Cho, K. H., Shin, S. Y., Lee, H. W., & Wolkenhauer, O. (2003). Investigations into the analysis and modeling of the TNFα-mediated NF-κB-signaling pathway. Genome Research, 13(11), 2413-2422.
    DOI Scopus81 Europe PMC51
    2003 Cho, K. H., Shin, S. Y., Kolch, W., & Wolkenhauer, O. (2003). Experimental Design in Systems Biology, Based on Parameter Sensitivity Analysis Using a Monte Carlo Method: A Case Study for the TNFα-Mediated NF-κB Signal Transduction Pathway. Simulation, 79(12), 726-739.
    DOI Scopus152

  • Book Chapters
    Year Citation
    2023 Shin, S. Y., & Nguyen, L. K. (2023). SynDISCO: A Mechanistic Modeling-Based Framework for Predictive Prioritization of Synergistic Drug Combinations Targeting Cell Signalling Networks. In Methods in Molecular Biology (Vol. 2634, pp. 357-381). Springer US.
    DOI Scopus2 Europe PMC2
    2017 Shin, S. Y., & Nguyen, L. K. (2017). Dissecting cell-fate determination through integrated mathematical modeling of the ERK/MAPK signaling pathway. In Methods in Molecular Biology (Vol. 1487, pp. 409-432). Springer New York.
    DOI Scopus12 Europe PMC6
    2010 Shin, S. Y., Kim, T. H., Cho, K. H., & Choo, S. M. (2010). In Silico Analysis of Combined Therapeutics Strategy for Heart Failure. In Elements of Computational Systems Biology (pp. 49-82).
    DOI

  • Conference Papers
    Year Citation
    2005 Park, S. J., Lee, M. S., Shin, S. Y., Cho, K. H., Lim, J. T., Cho, B. S., . . . Park, C. H. (2005). Run-to-run overlay control of steppers in semiconductor manufacturing systems based on history data analysis and neural network modeling. In IEEE Transactions on Semiconductor Manufacturing Vol. 18 (pp. 605-612). IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC.
    DOI Scopus20
    2003 Cho, K. H., Shin, S. Y., Kim, H. W., Wolkenhauer, O., McFerran, B., & Kolch, W. (2003). Mathematical modeling of the influence of RKIP on the ERK signaling pathway. In C. Priami (Ed.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 2602 (pp. 127-141). ITALY, ROVERETO: SPRINGER-VERLAG BERLIN.
    DOI Scopus86
    2003 Cho, K. H., Shin, S. Y., Lee, H. W., & Wolkenhauer, O. (2003). Simulation sudy of the TNFα mediated NF-κB signaling pathway. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 2602 (pp. 171). Springer Berlin Heidelberg.
    DOI Scopus1

  • Preprint
    Year Citation
    2024 Zhang, T., Shin, S. -Y., McCrimmon, C., Theocharous, M., Schittenhelm, R., Jarde, T., . . . Nguyen, L. (2024). Ribosomal Biogenesis Hyperactivation and ErbB signalling Mediated Network Rewiring Causes Adaptive Resistance to FGFR2 Inhibition.
    DOI
    2024 Xu, Z., Wu, J., Shin, S. -Y., & Nguyen, L. (2024). GeneSurv: Multi-Gene Cancer Survival Analysis Tool.
    DOI
    2024 Yang, X., Ma, X., Zhao, T., Croucher, D. R., Nguyen, E. V., Clark, K. C., . . . Daly, R. J. (2024). Feed-forward stimulation of CAMK2 by the oncogenic pseudokinase PEAK1 generates a therapeutically "actionable" signalling axis in triple negative breast cancer..
    DOI
    2023 Shin, S. -Y., & Nguyen, L. (2023). SynDISCO: A Mechanistic Modeling-Based Framework for Predictive Prioritization of Synergistic Drug Combinations Directed at Cell Signaling Networks.
    DOI
    2023 Hart, A., Shin, S. -Y., & Nguyen, L. (2023). Systematic Analysis of Network-driven Adaptive Resistance to CDK4/6 and Estrogen Receptor Inhibition using Meta-Dynamic Network Modelling.
    DOI
    2023 Hart, A., Shin, S. -Y., & Nguyen, L. K. (2023). Systematic Analysis of Network-driven Adaptive Resistance to CDK4/6 and Estrogen Receptor Inhibition using Meta-Dynamic Network Modelling.
    DOI
    2023 Hart, A., Shin, S. -Y., & Nguyen, L. K. (2023). Systematic Analysis of Network-driven Adaptive Resistance to CDK4/6 and Estrogen Receptor Inhibition using Meta-Dynamic Network Modelling.
    DOI
    2020 Ghomlaghi, M., Shin, S., Yang, G., James, D., & Nguyen, L. (2020). Dynamic modelling of the PI3K/mTOR signalling network uncovers biphasic dependence of mTORC1 activation on the mTORC2 subunit Sin1.
    DOI
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