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Chi Zhang, Ph.D.

Assistant Professor

  • B.A. 2010, Mathematics, Peking University
  • Ph.D. 2015, Bioinformatics (with a minor in Statistics), The University of Georgia
  • Post-doctoral Fellowship, 2015-2016, The University of Georgia

 

Personal Website: http://csbl.bmb.uga.edu/~zhangchi/

CCBB Website: http://compbio.iupui.edu/people/details/221

 

Dr. Chi Zhang focuses on computational modeling of cancer micro-environment including the level of hypoxia, oxidative stress, acidity and dysregulation of extracellular matrix as well as altered immune responses in cancer tissue by using large scale omics data. Dr. Chi Zhang is also interested in developing novel computation methods to integrate multiple tissue level and single cell omics data types to understand the mechanism of cancer initiation, progression, metastasis and cancer tumor tissue’s resistance to certain therapies. In addition, his research application also includes inference of intra-tumor heterogeneity and reprogrammed metabolism, and prediction of gain or loss of functions led by a certain mutation or collective effect of multiple mutations.

 

Selected Publications:

Zhang C, Sheng T,Cao S, Issa-Boube S, Tang T, Zhu X, Dong N, Du W, Xu Y. Autophagy in Cancer Cells vs Cancer Tissues: two different stories. [Book] Targeting Autophagy in Cancer Therapy, ed. J. Yang. 2016: Springer (Book chapter)

Zhang C, Chao L, Cao S+ and Xu Y. Elucidation of Divers of High-Level Production of Lactates throughout a Cancer Development. Journal of Molecular Cell Biology. (2015) DOI: 10.1093/jmcb/mjv031

Liu C+, Zhang C+, Su J, Zhang DS, Cao S. Stresses drive a cancer's initiation, progression and metastasis: Critical comments on the book "Cancer Bioinformatics". Journal of bioinformatics and computational biology. (2015) DOI: 10.1142/S021972001571002X

Cao S+, Zhang C+, and Xu Y. Somatic Mutations May Not Be the Primary Drivers of Cancer Formation. International Journal of Cancer. (2015) DOI: 10.1002/ijc.29639

Yao F+, Zhang C+, Du W, Liu C, Xu Y. Identification of Gene-expression Signatures and Protein Markers for Breast Cancer Grading and Staging. Plos One. (2015) DOI: 10.1371/journal.pone.0138213

Zhang C, Cao S, Toole B, and Xu Y. (2014) Cancer may be a pathway to cell survival under persistent hypoxia and elevated ROS: A model for solid-cancer initiation and early development. International Journal of Cancer: DOI: 10.1002/ijc.28975.

Zhang C, Cao S and Xu Y. (2014) Population Dynamics inside Cancer Biomass Driven by Repeated Hypoxia-Reoxygenation Cycles. Quantitative Biology. Doi: 10.1007/s40484-014-0032-8

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