Biostats | ESAM | NICO | RHLCC | Northwestern

  • mouse

    Elucidating Biological Complexity

    We develop computational methods to analyze high-dimensional data in the context of complex biomolecular interaction networks.
  • NU Arch

    Interdisciplinary Research at Northwestern University

    Our group spans disciplines -- and campuses.
  • "Hearing the Shape" of Life

    Analyzing the spectral characteristics of interaction networks to understand the dynamics of gene regulation.
  • kurns

    Integrative Analyses

    Combining different genome-wide assays to elucidate the molecular mechanisms underlying tumorigenesis.
  • poda

    Genetic Distance Metrics

    Comparing cases to controls across sets of genes enables predictions of susceptibility and identification of robust and fragile pathways.


Living processes comprise many highly variable, strongly interdependent and adaptive parts, and state-of-the-art computing coupled with modern biological experiments now provide an immense opportunity for understanding complex biological dynamics. Our research, broadly described as computational systems biology, is concerned with the development of novel computational techniques for the analysis of data from high-throughput biological experiments, with the goal of elucidating the processes that lead to the emergence of complex phenotypes.

Join us!

Interested in working with us as a student or collaborator? Contact us!