Dongxiao Zhu 朱冬宵
Department of Computer Science
5057 Woodward Ave. Suite 14101.3
Wayne State University, Detroit, MI 48202

Short Bio:
Dongxiao Zhu is currently an Associate Professor at Department of Computer Science, Wayne State University. He received his Ph.D. from University of Michigan. His current primary research interests are machine leanring and data science with applications to learning from big data in health informatics,
bioinformatics, natural language processing and multimedia. Dr. Zhu has published over 60 peer-reviewed publications and numerous book chapters and he served on several editorial boards of scientific journals. Dr. Zhu's research has been supported by NIH, NSF and private agencies and he has served on multiple NIH and NSF grant review panels. Dr. Zhu has advised numerous students at undergraduate, graduate and postdoctoral levels and his teaching interest lies in programming language, data structures and algorithms, machine learning and data science.

Selected Peer-Reviewed Research Papers: 

2017 2016
2014 2013 2012 2011
2010 2009 2008 2007 2006 2005

Selected Federal Funding:

  1. NSF/CCF: S&CC: Promoting a Healthier Urban Community: Prioritization of Risk Factors for the Prevention and Treatment of Pediatric Obesity. 09/01/2016-08/31/2019. (co-Principal Investigator)
  2. NSF/CCF:  EAGER: A novel algorithmic framework for discovering subnetworks from big biological data. 08/15/2014-08/14/2017. (Principal Investigator)
  3. NIH/NLM:  R21.A new informatics paradigm for reconstructing signaling pathways in human disease. 09/2009 – 08/2012. (Principal Investigator)
  4. NIH/NCI: R01. Analysis of Epstain-Barr virus type III latency on cellular miRNA gene expression. (co-Investigator)
  5. NSF/CCF: CPATH: A verification based learning model that enriches CS and related undergraduate programs. (co-Principal Investigator)

Current Students Whose Research under My Supervision:

Past Students:


  1. CORREP: a Bioconductor package to estimate correlation between two variables with replicates
  2. GeneNT: a R package to estimate co-expression gene networks
  3. SAMMate: a GUI system for transcriptoime assembly and quantification using RNA-Seq (A popular sotware in its field: 4000+ downloads, used by researchers from all over the world and cited by papers published in Nature Genetics, PNAS, Genome Research etc.)
  4. TEAK: a GUI system for Topological Enrichment Analysis frameworK
  5. dSpliceType: a Java-based tool to detect various types of differential splicing events using RNA-Seq 

Selected Book Chapters (group members are in bold face):  

Synergistic Activities:

Classroom Teaching (Computer Science Department at Wayne State University):

Classroom Teaching (Computer Science Department at University of New Orleans): Past Postdocs: