IGB research portfolio is broad spanning most areas at the intersection of the computational and biomedical sciences, including in particular:

  • All omic sciences, in particular, genomics, transcriptomics, proteomics, and metabolomics.
  • Bioinformatics, computational biology, mathematical biology.
  • Structural biology, chemoinformatics, and drug design and discovery.
  • Systems biology with particular emphases on neuroscience, computational neuroscience, cognitive neuroepigenetics, development, epigenetics and metabolism, circadian rhythms.
  • Diseases and disorders (mental disorders, infectious diseases, cancer) and translational applications, as well as medical Informatics (electronic medical records, clinical time series).
  • Biomedical imaging, from atomic to planetary scales, across all imaging modalities.
  • Artificial intelligence, statistical machine learning, expert systems, computer vision, natural language processing, data science, and data analytics.