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Professor Shibu Yooseph
Department of Computer Science
University of Central Florida

Office: Biological Sciences (133A)
Email: SHIBU dot YOOSEPH at UCF dot EDU
Phone: 407 823 5307
Mailing Address


Dr. Shibu Yooseph is a Professor in the Department of Computer Science at the University of Central Florida. He is also the Cluster Lead for the Genomics and Bioinformatics Faculty Research Cluster. He has a Secondary Joint Appointment in the Burnett School of Biomedical Sciences. Dr. Yooseph’s primary research is in Computational Biology and Bioinformatics, with a focus on the design and development of efficient algorithms for large-scale biological data analysis. His research is interdisciplinary, involving applications and collaborations in the fields of computing, genomics, microbiology, environmental research and biomedical sciences. (Brief Bio)

Research areas:

  • Algorithm design and combinatorial optimization
  • Machine Learning
  • Genomics, Computational Biology, and Bioinformatics
    • Metagenomics
    • Sequence Assembly
    • Homology Detection
    • Phylogenetics
    • Biomarker Discovery
    • Clustering and Ordination
    • Functional Genomics
  • Microbiome Research
    • Integration and analysis of microbiome ‘-omics’ data
    • Microbial diversity and ecology in different environments including air, water, and human
    • Prediction of microbial associations/interactions
    • Host-microbiome associations and mechanisms in the context of health and disease

Google Scholar link to publications.


  • (Undergraduate CS course) COT3100H Honors Introduction to Discrete Structures: Topics covered include Logic, Sets, Functions, Relations, Boolean Algebras, Mathematical Induction, Recursion, Counting, Probability, Algorithms and Computational Complexity.
  • (Graduate CS course) COT6417 Algorithms on Strings and Sequences: Topics covered include Pattern Matching Algorithms, Data Structures and Indexing (Keyword Trees, Suffix Trees, Suffix Arrays, Burrows-Wheeler Transform, Wavelet Trees, Compressed Suffix Arrays, FM-index), Biological Sequence Alignment Algorithms and Homology Detection, and Speeding up Searching and Clustering (Filtering and Locality-Sensitive Hashing).

We have recently developed a Minor Program in Genomics and Bioinformatics. More information can be found here.