51979-Su, Jing
Faculty

Jing Su, PhD

Assistant Professor of Biostatistics & Health Data Sciences

Address
HITS 3000
BSAT
IN
Indianapolis, IN

Bio

Dr. Su is currently an Assistant Professor at the Department of Biostatistics, Indiana University School of Medicine. He also serves as the Director for Data Management Services at Biostatistics. Dr. Su obtained his PhD degree in Biomedical Engineering (2008) from Georgia Institute of Technology and Emory University at Atlanta, Georgia (Advisor: Dr. J. Carson Meredith) on biomaterial informatics and high-dimensional combinatorial libraries. He worked with Dr. Michael Henson (2009) in University of Massachusetts Amherst to investigate network motifs underlying the circadian control of cell cycle, and with Dr. Xiaobo Zhou (2010) in The Methodist Hospital Research Institute and Weill Cornell Medical College of Cornell University at Houston, Texas to apply systems biology for clinical challenges. Dr. Su joined Wake Health in January, 2013 to advance graph-based machine learning in clinical and biomedical big data. In 2020 Dr. Su joined Biostatistics at Indiana University School of Medicine.Ā 

Key Publications

Su J*, Song Q. DSTG: Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence. bioRxiv. 2020:2020.10.20.347195. doi: 10.1101/2020.10.20.347195.

Su J, Jin G, Votanopoulos KI, Craddock L, Shen P, Chou JW, Qasem S, O'Neill SS, Perry KC, Miller LD, Levine EA. Prognostic Molecular Classification of Appendiceal Mucinous Neoplasms Treated with Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy. Ann Surg Oncol. 2020;27(5):1439-47. Epub 2020/01/26. doi: 10.1245/s10434-020-08210-5. PubMed PMID: 31980985; PMCID: PMC7147286.

Song Q, Su J*, Zhang W. scGCN: a Graph Convolutional Networks Algorithm for Knowledge Transfer in Single Cell Omics. bioRxiv. 2020.

Song Q, Su J, Miller LD, Zhang W. scLM: automatic detection of consensus gene clusters across multiple single-cell datasets. bioRxiv. 2020.

Fang C, Xu D, Su J*, Dry J, Linghu B. DeePaN: A deep patient graph convolutional network integrating clinico-genomic evidence to stratify lung cancers benefiting from immunotherapy. medRxiv. 2020:19011437.

Baker LD, Espeland MA, Kivipelto M, Whitmer RA, Snyder HM, Carrillo MC, Antkowiak S, Chavin M, Cleveland M, Day CE, Desai P, Elbein R, Farias ST, Gitelman D, Katula JA, Lambert K, Leng XI, Lovato L, Morris MC, Ngandu T, Papp KV, Pavlik VN, Raman R, Robertson J, Rushing S, Salloway S, Solomon A, Su J, Ventrelle J, Williams BJ, Williamson JD, Woolard N, Yu M, editors. US-POINTER (USA). Alzheimer's Association International Conference; 2020.

Hughes RT, Masters AH, McTyre ER, Farris MK, Chung C, Page BR, Kleinberg LR, Hepel J, Contessa JN, Chiang V, Ruiz J, Watabe K, Su J, Fiveash JB, Braunstein S, Chao S, Attia A, Ayala-Peacock DN, Chan MD. Initial SRS for Patients With 5 to 15 Brain Metastases: Results of a Multi-Institutional Experience. Int J Radiat Oncol Biol Phys. 2019;104(5):1091-8. Epub 2019/04/09. doi: 10.1016/j.ijrobp.2019.03.052. PubMed PMID: 30959122.

Baker LD, Beavers DP, Cleveland M, Day CE, Decarli C, Espeland MA, Tomaszewski-Farias SE, Jimenez-Maggiora G, Katula J, Kivipelto M, Lambert K, Leng XI, Morris MC, Ngandu T, Papp KV, Raman R, Robertson J, Rushing S, Snyder HM, Solomon A, Su J, Ventrelle J, Williams B, Williamson JD, Whitmer RA, Woolard N, Carrillo MC. US POINTER: Study Design and Launch. Alzheimer's & Dementia: The Journal of the Alzheimer's Association. 2019;15(7):P1262-P3.

Wang L, Zheng X, Huang LS, Xu J, Hsu F-C, Chen S-H, Ng MCY, Bowden DW, Freedman BI, Su J.* Progression of chronic kidney disease in African American with type 2 diabetes mellitus using topology learning in electronic medical records. bioRxiv. 2018:361956.

Thomas A, Routh ED, Pullikuth A, Jin G, Su J, Chou JW, Hoadley KA, Print C, Knowlton N, Black MA. Tumor mutational burden is a determinant of immune-mediated survival in breast cancer. Oncoimmunology. 2018;7(10):e1490854.

Su J, Chen S-H, Huang LS, Hsu F-C, Baker LD, Espeland MA. EMR-based Pragmatic Participant Recruitment for the Us Pointer Clinical Trial. Alzheimer's & Dementia: The Journal of the Alzheimer's Association. 2018;14(7):P567.

Soike MH, Ruiz J, McTyre E, O'Neill S, Qasem S, Furdui CM, Lee J, Lycan T, Rodman C, Watabe K, Tatter SB, Laxton AW, Chan MD, Su J. Discovery of a predictive protein biomarker for leptomeningeal disease after craniotomy and radiation. American Society of Clinical Oncology; 2018.

Espeland MA, Baker LD, Carrillo MC, Kivipelto M, Snyder HM, Su J, Whitmer R, Williamson J. Increasing Adherence in a Center-Based Trial of Lifestyle Intervention in Older Individuals: US POINTER Trial. Innovation in Aging. 2018;2(Suppl 1):809.

Chen S-H, Huang LS, Barnard R, Hsu F-C, Freedman BI, Su J*, editors. Drug Informatics Studio: An Ontology-based Integrative Research Environment for Clinical Informatics2018 2018.

Ji Z, Su J, Wu D, Peng H, Zhao W, Zhao BN, Zhou X. Predicting the impact of combined therapies on myeloma cell growth using a hybrid multi-scale agent-based model. Oncotarget. 2017;8(5):7647.

Huang LS, Zheng X, Hsu F-C, Xu J, Ng MCY, Bowden DW, Freedman BI, Su J*, editors. Real-world Evidence for Phenotyping Chronic Diabetic Kidney Disease American Medical Informatics Association Annual Symposium; 2017.

Clancy CE, An G, Cannon WR, Liu Y, May EE, Ortoleva P, Popel AS, Sluka JP, Su J, Vicini P, Zhou X, Eckmann DM. Multiscale Modeling in the Clinic: Drug Design and Development. Ann Biomed Eng. 2016;44(9):2591-610. Epub 2016/02/18. doi: 10.1007/s10439-016-1563-0. PubMed PMID: 26885640; PMCID: PMC4983472.

Chen H, Chen W, Liu C, Zhang L, Su J, Zhou X. Relational Network for Knowledge Discovery through Heterogeneous Biomedical and Clinical Features. Scientific reports. 2016;6:29915.

Su J, Henson MA. Circadian Gating of the Mammalian Cell Cycle Restriction Point: A Mathematical Analysis. IEEE Life Sci Lett. 2015;1(1):11-4. Epub 2015/06/01. doi: 10.1109/LLS.2015.2449511. PubMed PMID: 28133623; PMCID: PMC5271574.

Liu C, Su J*, Yang F, Wei K, Ma J, Zhou X. Compound signature detection on LINCS L1000 big data. Mol Biosyst. 2015;11(3):714-22. Epub 2015/01/23. doi: 10.1039/c4mb00677a. PubMed PMID: 25609570; PMCID: PMC4333019.

Su J, Zhang L, Zhang W, Choi DS, Wen J, Jiang B, Chang C-C, Zhou X. Targeting the biophysical properties of the myeloma initiating cell niches: a pharmaceutical synergism analysis using multi-scale agent-based modeling. PloS one. 2014;9(1):e85059.

Peng H, Peng T, Wen J, Engler DA, Matsunami RK, Su J, Zhang L, Chang C-CJ, Zhou X. Characterization of p38 MAPK isoforms for drug resistance study using systems biology approach. Bioinformatics. 2014;30(13):1899-907.

Sun X1, Su J1, Bao J, Peng T, Zhang L, Zhang Y, Yang Y, Zhou X. Cytokine combination therapy prediction for bone remodeling in tissue engineering based on the intracellular signaling pathway. Biomaterials. 2012;33(33):8265-76. Epub 2012/08/23. doi: 10.1016/j.biomaterials.2012.07.041. PubMed PMID: 22910219; PMCID: PMC3444627.

Zhang L, Jiang B, Wu Y, Strouthos C, Sun PZ, Su J, Zhou X. Developing a multiscale, multi-resolution agent-based brain tumor model by graphics processing units. Theor Biol Med Model. 2011;8(1):46. Epub 2011/12/20. doi: 10.1186/1742-4682-8-46. PubMed PMID: 22176732; PMCID: PMC3312859.

Lu Z, Su J. Clinical data management: Current status, challenges, and future directions from industry perspectives. Open Access Journal of Clinical Trials. 2010;2:93-105.

Su J, Zapata PJ, Chen CC, Meredith JC. Local cell metrics: a novel method for analysis of cell-cell interactions. BMC Bioinformatics. 2009;10(1):350. Epub 2009/10/27. doi: 10.1186/1471-2105-10-350. PubMed PMID: 19852804; PMCID: PMC2944256.

Su J, Meredith JC. Local histogram analysis: detecting cell-microstructure interactions on combinatorial biomaterial libraries. Comb Chem High Throughput Screen. 2009;12(6):626-33. Epub 2009/07/16. doi: 10.2174/138620709788681880. PubMed PMID: 19601760.

Zapata P, Su J, Garcia AJ, Meredith JC. Quantitative high-throughput screening of osteoblast attachment, spreading, and proliferation on demixed polymer blend micropatterns. Biomacromolecules. 2007;8(6):1907-17. Epub 2007/05/18. doi: 10.1021/bm061134t. PubMed PMID: 17506518.

Su J, Zapata PJ, GeorgiaTech A, Meredith GAC, editors. Informatics and Data Mining of Combinatorial Datasets for Cell-Material Interactions American Institute of Chemical Engineers Annual Meeting; 2006.

Sung H-J, Su J, Berglund JD, Russ BV, Meredith JC, Galis ZS. The use of temperatureā€“composition combinatorial libraries to study the effects of biodegradable polymer blend surfaces on vascular cells. Biomaterials. 2005;26(22):4557-67.

Su J, Zapata P, Meredith C. Knowledge Discovery Applications in High-Throughput Polymer Characterization. MRS Online Proceedings Library Archive. 2005;894.

Titles & Appointments

  • Assistant Professor of Biostatistics & Health Data Sciences
  • Education
    2008 PhD Georgia Institute of Technology
    2000 ME Tianjin University
    1996 BE Tianjin University of Science and Technology
  • Research

    Dr. Su is interested in biomedical informatics that incorporates electronic health records, graph-based machine learning, big data integration and mining, and computational models: 
    1) to identify clinical phenotypic traits of patient subgroups that demonstrate different risk factors, disease development patterns, and treatment responses;
    2) to understand the underlying mechanisms of such subgroups from perspective of the dynamics of complex biosystems; and
    3) to apply actionable knowledge in precision medicine and clinical decision-making.
    He currently focuses on three closely related directions: biomedical informatics for precision medicines, graph theory in machine learning and biomedical big data mining, and systems biology of stem cell driven biosystems. Dr. Su is interested in 5 closely correlated chronic complex diseases: diabetes, kidney diseases, cancers, cardiovascular diseases, and Alzheimer's/dementia. 

  • Professional Organizations
    American Medical Informatics Association

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