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Computational and Systems Biology

Associated Faculty & Staff

  • analysis of big biological data by developing statistical physics approaches to deep learning; statistical learning approaches to the dynamics, plasticity and evolvability of small regulatory RNA; host-pathogen interaction: in-host dynamics and inter-species systems biology
  • Rationally engineered directed differentiation; single cell proteomics and genomics; ribosome-mediated translational regulation; statistical inference, single cell mass-spectrometry, cell metabolism; quantitative systems biology; computational biology
  • Feedback control theory, systems biology, cancer, and biomedicine