The Gibson Lab is part of the Division of Computational Pathology at Brigham and Women’s Hospital and Harvard Medical School. We are physically located in the Hale Building for Transformative Medicine (BTM) in 8002 in Boston with space also at the MIT Stata Center (32-G570) in Cambridge.

In our research we leverage tools from machine learning and control to understand biological systems. Control theoretic concepts are integrated both in the design of our optimization schemes and statistical machine learning models, as well as in the design of our in vitro and in vivo experiments. Current and future projects include

  • Statistical learning applied to microbial dynamics (Bayesian nonparametrics, layered latent state-space models)
  • Theoretical foundations at the intersection of machine learning and control
  • Genetically engineering and controlling a microbial consortia
  • Host-Microbiome interactions
  • Time-series “omics” (metagenomics, transcriptomics, and metabolomics)

For more detailed information visit the Gibson lab website