research focus areas

CODE focuses on methodological and technological innovation across omics disciplines, with key areas including:

• Population Genomics: Studying genetic variation to uncover population dynamics anddisease-associated loci, integrating multi-omics data for insights into complex traits and history.

• Cancer and Clinical Genomics: Applying genomics and transcriptomics to understand tumor biology, identify biomarkers, and support precision medicine initiatives.

• Systems and Molecular Engineering: Designing and optimizing molecular and metabolic systems using omics-informed computational models for synthetic biology and biomanufacturing.

• Multi-Omics Data Integration and AI Analytics: Developing computational frameworks to integrate genomics, transcriptomics, proteomics, and metabolomics, using artificial intelligence and machine learning to extract interpretable insights.

• Accelerating Omics Technologies: Designing quantum and harware accelerated solutions for studying genomic and transcriptomic variation.
  
• Translational and Precision Medicine: Applying omics-driven solutions to human health challenges, integrating laboratory and clinical datasets for patient-specific therapeutic strategies.