Jing Su, PhD

Bio

Dr. Su is an Assistant Professor at the Department of Biostatistics at Indiana University School of Medicine. With a Ph.D. in Biomedical Engineering from the Georgia Institute of Technology and Emory University, Dr. Su has dedicated his career to the study of biomedical informatics, graph-based machine learning, big data integration and mining, and computational models to identify clinical phenotypic traits of patient subgroups, understand the underlying mechanisms of such subgroups, and apply actionable knowledge in precision medicine and clinical decision-making.

Dr. Su's interests lie in chronic complex diseases such as chronic kidney diseases and cancers. His lab publishes in high-profile journals such as the Journal of Clinical Oncology (IF: 50.717), Nature Communications (IF: 17.7), npj Digital Medicine (IF: 15.36), and Briefings in Bioinformatics (IF: 13.994). He was recently awarded by NIH/NLM for revealing health trajectories of chronic kidney disease for precision medicine (R01LM013771, 2022 – 2026, MPI: Su and Zhang).

Dr. Su is the Director for Data Management Services at the Department of Biostatistics and the Associate Director for Real-world Data at the Biostatistics and Data Management Core at IU Simon Comprehensive Cancer Center.

Key Publications

Z Tang, T Zhang, B Yang, J Su*, Q Song*, "spaCI: deciphering spatial cellular communications through adaptive graph model", Briefings in Bioinformatics, (2023)

Song, Q., B. Bates, Y. R. Shao, F.-C. Hsu, F. Liu, V. Madhira, A. K. Mitra, T. Bergquist, R. Kavuluru, X. Li, N. Sharafeldin, J. Su*, U. Topaloglu and o. b. o. t. N. C. C. C. Consortium "Risk and Outcome of Breakthrough COVID-19 Infections in Vaccinated Patients With Cancer: Real-World Evidence From the National COVID Cohort Collaborative." Journal of Clinical Oncology (2022): JCO.21.02419.

Song, Q., J. Su* and W. Zhang* (2021). "scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics." Nature Communications (2021) 12(1): 1-11.

Song Q* and Su J*, "DSTG: Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence". Briefings in Bioinformatics (2021) (bbaa414): 1-13

Fang, C., D. Xu, J. Su, J.* R. Dry* and B. Linghu*. "DeePaN: dee p pa tient graph convolutional n etwork integrating clinico-genomic evidence to stratify lung cancers for immunotherapy." npj Digital Medicine (2021) 4(1): 1-10.

Su, J.*, L. S. Huang, R. Barnard, G. Parks, J. Cappellari, C. Bellinger, T. Dotson, L. Craddock, B. Prakash and J. Hovda. "Comprehensive and Computable Molecular Diagnostic Panel (C2Dx) From Small Volume Specimens for Precision Oncology: Molecular Subtyping of Non-Small Cell Lung Cancer From Fine Needle Aspirates." Frontiers in Oncology (2021) 11: 909.

Su, J.*, Q. Song, S. Qasem, S. O’Neill, J. Lee, C. M. Furdui, B. Pasche, L. Metheny-Barlow, A. H. Masters and H.-W. Lo. "Multi-Omics Analysis of Brain Metastasis Outcomes Following Craniotomy." Frontiers in Oncology (2021). 10: 3346.

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. PubMed PMID: 31980985; PMCID: PMC7147286.

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.

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).

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 Informatics American Society of Clinical Oncology. (2018).

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. 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. 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.

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. PubMed PMID: 22910219; PMCID: PMC3444627.

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. .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. PubMed PMID: 19601760.

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).

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 Science
Director, Data Management Services at Biostatistics and Health Data Science
Associate Director of Real-world Data, Biostatistics and Data Management Core, IU Simon Comprehensive Cancer Center

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 the 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 artificial intelligence, and systems biology in complex biosystems. Dr. Su is interested in chronic complex diseases including chronic kidney diseases and cancers.
Professional Organizations

American Medical Informatics Association

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