Shibu Yooseph, Ph.D.

Kravis Professor of Integrated Sciences: Computational Biology and Bioinformatics

Department

Kravis Department of Integrated Sciences

Areas of Expertise

Computational Biology
Computer Science
Human Genome

Biography

Previous Appointments:

  • University of Central Florida (2016-2023)
    • Professor in the Department of Computer Science
    • Cluster Lead for the Genomics and Bioinformatics Cluster
    • Secondary Joint Appointment in the Burnett School of Biomedical Sciences
  • Human Longevity Inc. (2014-2016)
    • Senior Director of Bioinformatics / Microbiome Lead
  • J. Craig Venter Institute (2003-2016)
    • Professor of Informatics (2014-2016)
    • Director of Informatics, San Diego (2009-2011)
    • Associate Professor of Informatics (2009-2013)
    • Senior Computational Scientist (2003-2008)
  • Celera Genomics (2000-2003)
    • Computer Scientist
  • University of Southern California (1998-2000)
    • Research Associate
  • Center for Discrete Mathematics and Theoretical Computer Science (DIMACS), Rutgers University (1997-1998)
    • Postdoctoral Fellow
  • Lucent Technologies, Bell Labs (1997-1998)
    • Consultant

Education

Ph.D. in Computer and Information Science (1997)

University of Pennsylvania, Philadelphia, Pennsylvania

Thesis: Phylogeny Construction and Consensus Methods

Thesis advisor: Professor Tandy Warnow

 

Bachelor of Technology in Computer Science and Engineering (1992)

Indian Institute of Technology, Banaras Hindu University, Varanasi (India)

Research and Publications

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.

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