Gaowei Wang, Ph.D.
I obtained my Ph.D. in Computational Biology from Shanghai Jiao Tong University, where I studied tumorigenesis using computational modeling under the supervision of Dr. Ping Ao. After my graduation, I joined Dr. Gen-sheng Feng’s lab at UCSD as a postdoctoral fellow to study the mechanisms of hepato-carcinogenesis by combining computational modeling and omics data. In the Sander lab, the goal of my research is to define the molecular blueprint that initiates and drives type 2 diabetes (T2D) by integrating different types of omics data generated from islets of non-diabetic, pre-diabetic, and T2D individuals.
Wang, G., Yuan, R., Zhu, X., & Ao, P. (2018) Endogenous Molecular-Cellular Network Cancer Theory: A Systems Biology Approach. In Systems Biology (pp. 215-245). Humana Press, New York, NY. (Book chapter)
Liu, J. J., Li, Y., Chen, W. S., Liang, Y., Wang, G., Zong, M., … & Feng, G. S. (2018) Shp2 Deletion in Hepatocytes Suppresses Hepatocarcinogenesis Driven by Oncogenic β-Catenin, PIK3CA and MET. Journal of hepatology (2018).
Lee, J., Liao, R., Wang, G., Yang, B. H., Luo, X., … & Feng, G. S. (2017) Preventive Inhibition of Liver Tumorigenesis by Systemic Activation of Innate Immune Functions. Cell reports, 21(7), 1870-1882.
Tang, Y., Yuan, R., Wang, G., Zhu, X., & Ao, P. (2017) Potential landscape of high dimensional nonlinear stochastic dynamics with large noise. Scientific reports, 7(1), 15762.
Su, H., Wang, G., Yuan, R., Wang, J., Tang, Y., Ao, P., & Zhu, X. (2017) Decoding early myelopoiesis from dynamics of core endogenous network. Science China Life Sciences, 60(6), 627-646.
Yuan, R., Zhu, X., Wang, G., Li, S., & Ao, P. (2017) Cancer as robust intrinsic state shaped by evolution: a key issues review. Reports on Progress in Physics, 80(4), 042701.
Wang, G., Su, H., Yu, H., Yuan, R., Zhu, X., and Ao, P. (2016) Endogenous network states predict gain or loss of functions for genetic mutations in hepatocellular carcinoma. Jornal of Royal Soctiety Interface 13: 20151115
Li, S., Zhu, X., Liu, B., Wang, G., and Ao, P. (2015) Endogenous molecular network reveals two mechanisms of heterogeneity within gastric cancer. Oncotarget, 6: 18977
Wang, G., Zhu, X., Gu, J., and Ao, P. (2014) Quantitative implementation of the endogenous molecular–cellular network hypothesis in hepatocellular carcinoma. Interface Focus 4(3). 20130064
Wang, G., Zhu, X., Hood, L., and Ao, P. (2013) From Phage lambda to human cancer: endogenous molecular-cellular network hypothesis. Quantitative Biology 1, 32-49.