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Jun Zhu

  • PROFESSOR Genetics and Genomic Sciences
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Education

  • Ph. D., State University of New York at Albany
    Biomedical Sciences

  • M.S., State University of New York at Albany
    Computer Science

  • B.E., Tsinghua University
    Electronic Engineering

Biography

    Jun Zhu, PhD is a professor in Department of Genetics and Genomic Sciences and a member of Institute of Genomics and Multiscale Biology.  Dr. Zhu was trained in both computer science and biomedical science.   His research focuses on integrating diverse data (e.g. genetic, genomic, transcriptomic, proteomic data and etc.) into probabilistic graphic networks for elucidating complex human diseases, as well as method development for analyzing and comparing disease-related networks.  Before joining Mount Sinai, he was a computational Biologist at Amgen, an associate scientific director at Rosetta/Merck, then a director of network biology in Sage Bionetworks, a not-for-profit research institute, and an affiliate investigator at Fred Hutchinson Cancer Research Center.

Research

The explosion of large-scale, high-throughput technologies in the biological sciences demands a comprehensive view of biological systems.   Dr. Zhu’s research focuses on analyzing large-scale high-throughput data:

1.     Method development in integrating diverse high-throughput data into probabilistic causal network models. 

2.     Method development in comparing multiple networks.  

3.     Method development in analyzing biological networks.

For more details about Dr. Zhu’s research, visit Dr. Zhu’s Integrative Network Biology group.  

           

Publications

Yeung KY, Dombek KM, Lo K, Mittler JE, Zhu J, Schadt EE, Bumgarner RE, Raftery AE. Construction of regulatory networks using expression time-series data of a genotyped population. Proceedings of the National Academy of Sciences of the United States of America 2011 Nov; 108(48).

Tran LM, Zhang B, Zhang Z, Zhang C, Xie T, Lamb JR, Dai H, Schadt EE, Zhu J. Inferring causal genomic alterations in breast cancer using gene expression data. BMC systems biology 2011; 5.

Zhu J, Chen Y, Leonardson AS, Wang K, Lamb JR, Emilsson V, Schadt EE. Characterizing dynamic changes in the human blood transcriptional network. PLoS computational biology 2010 Feb; 6(2).

Leonardson AS, Zhu J, Chen Y, Wang K, Lamb JR, Reitman M, Emilsson V, Schadt EE. The effect of food intake on gene expression in human peripheral blood. Human molecular genetics 2010 Jan; 19(1).

Zhang W, Zhu J, Schadt EE, Liu JS. A Bayesian partition method for detecting pleiotropic and epistatic eQTL modules. PLoS computational biology 2010 Jan; 6(1).

Wang K, Narayanan M, Zhong H, Tompa M, Schadt EE, Zhu J. Meta-analysis of inter-species liver co-expression networks elucidates traits associated with common human diseases. PLoS computational biology 2009 Dec; 5(12).

Narayanan M, Vetta A, Schadt EE, Zhu J. Simultaneous clustering of multiple gene expression and physical interaction datasets. PLoS computational biology 2010 Apr; 6(4).

Tu Z, Argmann C, Wong KK, Mitnaul LJ, Edwards S, Sach IC, Zhu J, Schadt EE. Integrating siRNA and protein-protein interaction data to identify an expanded insulin signaling network. Genome research 2009 Jun; 19(6).

Zhu J, Zhang B, Smith EN, Drees B, Brem RB, Kruglyak L, Bumgarner RE, Schadt EE. Integrating large-scale functional genomic data to dissect the complexity of yeast regulatory networks. Nature genetics 2008 Jul; 40(7).

Chen Y, Zhu J, Lum PY, Yang X, Pinto S, MacNeil DJ, Zhang C, Lamb J, Edwards S, Sieberts SK, Leonardson A, Castellini LW, Wang S, Champy MF, Zhang B, Emilsson V, Doss S, Ghazalpour A, Horvath S, Drake TA, Lusis AJ, Schadt EE. Variations in DNA elucidate molecular networks that cause disease. Nature 2008 Mar; 452(7186).

Industry Relationships

Physicians and scientists on the faculty of the Icahn School of Medicine at Mount Sinai often interact with pharmaceutical, device and biotechnology companies to improve patient care, develop new therapies and achieve scientific breakthroughs. In order to promote an ethical and transparent environment for conducting research, providing clinical care and teaching, Mount Sinai requires that salaried faculty inform the School of their relationships with such companies.

Below are financial relationships with industry reported by Dr. Zhu during 2013 and/or 2014. Please note that this information may differ from information posted on corporate sites due to timing or classification differences.

Consulting:

  • Janssen Pharmaceuticals, Inc.

Mount Sinai's faculty policies relating to faculty collaboration with industry are posted on our website at http://icahn.mssm.edu/about-us/services-and-resources/faculty-resources/handbooks-and-policies/faculty-handbook. Patients may wish to ask their physician about the activities they perform for companies.

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