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Research Advisors

The research advisors are faculty who bring expertise across the full spectrum of biomedical informatics and artificial intelligence (AI) methods, conducting research in clinical, population health, translational, and imaging informatics applied to diverse biomedical and clinical domains. They participate in major national consortia, including PaTH, Evolve to Next-gen Accrual to Clinical Trials (ENACT) and Models of Infectious Disease Agent Study (MIDAS), providing students with rich opportunities for innovative, collaborative research with partners nationwide. Faculty research advisors are drawn from a wide range of departments spanning the health sciences and beyond, including computer science and bioengineering.

Methods:

  • Symbolic AI
  • Probabilistic AI
  • Machine learning
  • Causal inference
  • Generative AI
  • Deep learning
  • Human-computer interaction
  • Predictive modeling
  • Natural language processing

Informatics subareas:

  • Clinical informatics
  • Clinical research informatics
  • Translational bioinformatics
  • Population health informatics
  • Imaging informatics
  • Environmental informatics

Domains:

  • Clinical domains (e.g., anesthesiology, neurology, pediatrics, critical care, oncology, and infectious diseases)
  • Health disparities
  • Clinical decision support
  • Electronic health records
  • Pharmacovigilance
  • Ontology development
  • Team science