Dr. Matthew Hayes

Assistant Professor of Computer Science

student on campus

Department of Computer Science 
Tennessee State University 
3500 John A Merritt Blvd
Nashville, TN 37209

Office  McCord Hall 005E (Main Campus)
Email  : mhayes20[at]tnstate[dot]edu
Phone  : (615) 963-5877
Homepage  : N/A

Areas of Interest 
Bioinformatics (Genomics), Computational Biology, Algorithms, Security.

Ph.D., Computer Science, Case Western Reserve University, 2013.
M.S., Computer Science, University of Louisiana at Lafayette, 2008.
B.S., Computer Science, University of Louisiana at Lafayette 2005.

Biographical Sketch 
Dr. Hayes received his B.S. and M.S. degrees in computer science from the University of Louisiana at Lafayette in 2005 and 2008 respectively. He received his Ph.D. from Case Western Reserve University in 2013. His dissertation is titled "Algorithms to Resolve Large Scale and Complex Structural Variants in the Human Genome".
During the 2013-14 academic year, Dr. Hayes was a visiting assistant professor of computer science at McNeese State University in Lake Charles, LA.
Dr. Hayes' research focuses on algorithm and application development to address the problem of detecting genomic abnormalities relevant to disease onset, diagnosis, and susceptibility. Specifically, his research focuses on developing computational methods to locate and classify genomic structural variants.

Teaching Interests 
Bioinformatics and Computational Biology, Algorithms, Theory of Computation, Security, Intro to Computer Science and Programming, Digital Logic and Design.

Contracts Awarded
Office of Naval Research (ONR) Summer Faculty Fellowship: 6/1/2015 - 5/31/17.

Grants Awarded
PI: "Innovative Learning Program for Minority Males at Tennessee State University". The Verizon Foundation. June 2017-May 2019. $399,980.

Selected Publications

  • M. Hayes and J. Li. "Bellerophon: a hybrid method for detecting interchromosomal rearrangements at base pair resolution using next generation sequencing data." BMC Bioinformatics 2013, 14(Suppl 5):S6 (10 April 2013). Presented at the 2013 RECOMB Workshop on Massively Parallel Sequencing (RECOMB-Seq).
  • W. Wang, X. Yin, Y-S Pyon, M. Hayes, J. Li. "Rare variant discovery and calling by sequencing pooled samples with overlaps". Bioinformatics (2013) 29(1): 29-38.
  • M. Hayes, Y.S. Pyon, J. Li (2012) A Model-Based Clustering Method for Genomic Structural Variant Prediction and Genotyping Using Paired-End Sequencing Data. PLoS ONE 7(12): e52881. doi:10.1371/journal.pone.0052881. Dec. 2012.
  • Y.S. Pyon, M. Hayes and J Li. "Model Based Clustering Approach for Identifying Structural Variation Using Next Generation Sequencing Data", Proceedings of 1st IEEE International Conference in Computational Advances in Bio and Medical Sciences (ICCABS), Feb. 2011.
  • M. Hayes and J Li. "A Linear-Time Algorithm for Analyzing Array CGH Data Using Log Ratio Triangulation", International Symposium on Bioinformatics Research and Applications (ISBRA), Lecture Notes in Bioinformatics (5542) 248-259, May 2009.
  • M. Hayes, A. Walenstein, A. Lakhotia. "Evaluation of Malware Phylogeny Modelling Systems Using Automated Variant Generation." Journal in Computer Virology, Vol. 5, No. 4, 335-343. 2009.

webpage contact:
Computer Science