Yun Hao

Yun Hao


Graduate Student

Yun Hao is a PhD student in the laboratory of Nicholas Tatonetti whose current research interests are related to systems pharmacology. The goal of his research is to understand how biological systems respond to drug molecules at the pathway level, and to apply the results to other research topics in pharmacology such as drug-repositioning and prediction of adverse events.
Before coming to Columbia, Yun worked with Dr. Weidong Tian at Fudan University, where his work focused on developing a new approach to perform gene set enrichment analysis. He also worked with Dr. Jing Zhang at Yale, where he used a Bayesian selection model to analyze dynamic functional connectivity in human brain. 

Education History
BS, Fudan University 


* indicates equal author contribitions

Hao Y, Tatonetti NP. Predicting G protein-coupled receptor downstream signaling by tissue expression. Bioinformatics. Bioinformatics. 2016 Aug 2. pii: btw510.

Dong X*, Hao Y*, Wang X, Tian W. LEGO: a novel method for gene set over-representation analysis by incorporating network-based gene weights. Sci Rep. 2016 Jan 11;6:18871.

Ou J, Lian Z, Xie L, Li X, Wang P, Hao Y, Zhu D, Jiang R, Wang Y, Chen Y, Zhang J. Atomic dynamic functional interaction patterns for characterization of ADHD. Hum Brain Mapp. 2014 Oct;35(10):5262-78.

Lian Z, Li X, Young T, Hao Y, Xing J, Lv J, Jiang X, Zhu D, Liu T, Zhang J. Dynamic network partition via Bayesian connectivity bi-partition change point model. In: 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI). 2014 Apr 29;545-548. 

Ma H, Hao Y, Dong X, Gong Q, Chen J, Zhang J, Tian W. Molecular mechanisms and function prediction of long noncoding RNA. ScientificWorldJournal. 2012;2012:541786.