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Bioinformatics Scientist Joins MSU

Jianrong Wang

Jianrong Wang recently joined MSU as an assistant professor in the Department of Computational Mathematics, Science and Engineering. His interdisciplinary research is in the fields of bioinformatics, machine learning, gene regulation and systems biology, with a focus on developing novel statistical models and machine learning algorithms to infer large-scale context-dependent gene regulatory networks and their association with complex human disease

(e.g., cancer) by integrating heterogeneous high-dimensional datasets. Wang’s recruitment is part of the Global Impact Initiative.

Before coming to MSU, he was a postdoctoral associate at MIT from 2012-2016; he also completed a short postdoctoral research assignment at Stanford University in 2016.

Research Interests: Probabilistic modeling of long-range three-dimensional enhancer-gene

Networks; Network-based prediction and functional annotation of non-coding genetic variants associated with human diseases and traits, including cancer; Machine learning algorithms to predict regulatory elements of gene expression; statistical and computational methodology development

Ph.D.: Georgia Institute of Technology, bioinformatics (2012)

Recent Publications:

Jianrong Wang, Cristina Vicente-Garcia, Davide Seruggia, Eduardo Molto, Ana Fernandez-Minan, Ana Neto, Elbert Lee, Jose Luis Gomez-Skarmeta, Lluis Montoliu, Victoria V. Lunyak and I. King Jordan. MIR retrotransposon sequences provide insulators to the human genome. 2015 Proc Natl Acad Sci USA 112(32):E4428-4437.

Roadmap Epigenomics Consortium et al. Integrative analysis of 111 reference human epigenomes. 2015 Nature 518:317-330. (integrative analysis lead author)

Jianrong Wang, Victoria V. Lunyak and I. King Jordan. BroadPeak: a novel algorithm for identifying broad peaks in diffuse ChIP-seq datasets. 2013 Bioinformatics 29(4):492-493.

For a complete list of papers and publications, click here.

Contact: wangj164@msu.edu

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