Computational Bioinformatics and Bio-imaging Laboratory (CBIL)


 
 

Internal Use

 

 

Full-Time Faculty
  • Yue Wang , Ph.D., The Grant A. Dove Professor of Electrical and Computer Engineering, Director of CBIL, Faculty of Translational Biology, Medicine, and Health program, AIMBE Fellow, IEEE Fellow (王跃)(格兰特•多弗冠名讲席教授)

  • Jason Jianhua Xuan , Ph.D., Professor of Electrical and Computer Engineering, Associate Director of CBIL

  • Guoqiang Yu , Ph.D., Assistant Professor of Electrical and Computer Engineering, Assistant Director of CBIL

 
Adjunct/Research Faculty & Staff
  • Habtom W Ressom, Ph.D., Adjunct Professor of Electrical and Computer Engineering, Professor of Oncology at Georgetown University Medical Center: Machine learning for analysis of genomic and proteomics data

 
Doctoral Graduate Research Assistant

    GENOMIC AND EPIGENOMIC DATA ANALYSIS (identify functional and causal genomic and epigenetic variables)

  • Chiung-Ting Wu (doctoral graduate research assistant, Fall 2014 - present)(BA,MS; National Taiwan U)(e-mail: ctwu@vt.edu): GxE interactions, multivariate elastic association network, causality inference using multiform omics.

  • Zuolin Cheng (doctoral graduate research assistant, Fall 2015 - present)(BS, Shenzhen U; MS, Peking U)(e-mail: zlcheng@vt.edu): TBD

  • SYSTEMS BIOLOGY MODELING (infer phenotype related regulatory networks using multiform oimcs data)

  • (Dennis) Yi Fu (doctoral graduate research assistant, Fall 2012 - present)(BS&MS; Tsinghua U)(e-mail: fydennis@gmail.com): AISAIC-GISMIC, BACOM2.0, functional differential dependency network, regulatory inference using multiform omics.

  • GENE EXPRESSION AND PROTEOMICS (analyze gene expression, miRNA, protein expression, and clinical data, and discover molecular markers)

  • Lulu Chen (doctoral graduate research assistant, Fall 2013 - present)(BS&MS; USTC)(e-mail: luluchen@vt.edu): Multiplatform inference, intra/inter-tumor heterogeneity characterization, dynamic CAM/kDDN for characterizing tumor evolution and tumor-stromal interaction (time causality, cell-cell signaling for coordinating collective processes).

  • Boyu Lyu (doctoral graduate research assistant, Fall 2017 - present)(BS, MS; HIT)(e-mail: boyu93@vt.edu): Deep genomics, analysis of next-gen sequencing data, deep machine learning, etc.

  • NEURO INFORMATICS AND BRAIN SIGNAL MOLDEING

  • Yizhi Wang (doctoral graduate research assistant, Fall 2013 - present)(BS&MS, Fudan U)(e-mail: freemanwyz@gmail.com): Brain imaging data modeling and analysis.

  • Yinxue Wang (doctoral graduate research assistant, Fall 2013 - present)(BS; Tsinghua U)(e-mail: TBD): Brain imaging data modeling and analysis.

  • Congchao Wang (doctoral graduate research assistant, Fall 2015 - present)(BA,MS; Nankai U)(e-mail: ccwang@vt.edu): TBD.

 
Part-time & Visiting Graduate Students
  • Charles S. Bartlett (part-time doctoral graduate student, Spring 2008 - present): Machine learning theory, recurrent neural networks.

  • John Reep (part-time master graduate student, 2016 - present): Cloud computing for bioinformatics; parallel computing/GPU.

 
CBIL Guidelines
(Document)
 

 

 

 

 


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Last Updated: 02/17/2009. Suggestions/Comments - Webmaster