RahnavardLab

  The Rahnavard Lab: Omics Data Science and Technologies for  

   Public Health and Precision Medicine  

We use systems-biology-based approaches, applying computational methods to multi-omic data with the goal of generating hypotheses of the underlying processes involved in disease activity. We test hypotheses with strong evidence in measured data in a laboratory for translation into actionable diagnostics and therapeutics. 

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We develop innovative computational, machine learning, deep learning, and statistical methods aimed at achieving actionable research outcomes in health and disease using high-dimensional omics data.  The goals for these techniques are to provide approaches to find biological patterns in the zoomed-in personalized level and the zoomed-out population-level using omics data.