Chang Gong



Ph.D. Bioinformatics, University of Michigan 2015
M.S. Bioinformatics, University of Michigan 2012
B.S. Biological Sciences, Peking University 2010


Rackham Predoctoral Fellowship, University of Michigan, 2015
Rackham Conference Travel Grant, University of Michigan, 2013
Rackham International Student Fellowship, University of Michigan, 2011
Maas Dean’s Fellowship, University of Michigan, 2010

Research Interests

My current research involves using multi-scale computational and mathematical models to investigate development and spread of cancers, and their interaction with the immune system.


Gong, Chang, Linderman, J and Kirschner, D., A population model capturing dynamics of tuberculosis granulomas predicts infection outcomes, Mathematical Biosciences and Engineering, pp: 625-642, Volume 12, Issue 3, June 2015, DOI: 10.3934/mbe.2015.12.625, PMID: 25811559

Chang Gong, Jennifer J. Linderman, Denise Kirschner. Harnessing the heterogeneity of T cell differentiation fate to fine-tune generation of effector and memory T cells, Front. Immunol., 5:57, 2014. DOI: 10.3389/fimmu.2014.00057, PMID: 24600448, PMCID: 3928592

Chang Gong, Josh Mattila, Mark Miller, JoAnne Flynn, Jennifer Linderman, and Kirschner, D. Predicting lymph node output efficiency using systems biology, J. Theor. Biol. Volume 335, October 21 2013, Pages 169-184, ePUB: June 29, 2013, DOI: 10.1016/j.jtbi.2013.06.016, PMID: 23816876, PMCID: 3783027

Jennifer J. Linderman, Nicholas A. Cilfone, Elsje Pienaar, Chang Gong, Denise E. Kirschner, A Multi-scale Approach to Designing Therapeutics for Tuberculosis, Integrative Biology (2015), DOI: 10.1039/C4IB00295D, PMID: 25924949, PMCID: 4436084

Home town

Chengdu, China