About

Engineering solutions at the nexus of life sciences and computation

The Center for Omics technologies and Data Engineering (CODE) fosters interdisciplinary collaboration at the intersection of life sciences and computation, developing engineering- and data-driven solutions to complex biological challenges. 

We advance research across genomics, transcriptomics, proteomics, phenomics, metabolomics, and other omics technologies. Our approach leverages artificial intelligence, machine learning, and advanced analytics, supported by innovations in data storage, transmission, visualization, and modeling. 

Our mission is to develop integrative, scalable, robust, and interpretable technologies and methods that unlock insights from complex biotic and abiotic data. 

These solutions enable transformative discoveries in precision medicine, population and cancer omics, plant and metabolic engineering, biomanufacturing, bioprocess engineering, and molecular systems engineering. CODE serves as a hub for collaborative research, student training, consulting, and partnerships that shape the future of omics- and data-driven science and engineering.

Our Vision

To establish Florida Atlantic University as a leader in engineering-driven omics technologies and computational innovation, fostering research, training, and partnerships that position South Florida as a hub for breakthroughs in precision medicine, biotechnology, and systems engineering.

Our Mission

CODE unites faculty, students, industry, and national lab partners to:

  • Discover
    o Advance omics research with scalable, interpretable, engineering-driven solutions.
    o Extract insights from complex biological and environmental data using artificial intelligence, machine learning, and advanced analytics.
  • Innovate
    o Engineer transformative methods bridging life sciences and computation.
    o Drive breakthroughs in precision medicine, population and cancer omics, plant and metabolic engineering, and biomanufacturing.
  • Connect
    o Engage students and researchers in interdisciplinary training and mentorship programs.
    o Build collaborative networks across academia, industry, and national labs.