Travis E. Gibson

Travis E. Gibson, Gibson Lab Faculty, Harvard Medical School Principal Investigator, Brigham and Women's Hospital Research Affiliate, MIT tegibson@bwh.harvard.edu Senior Administrative Assistant Tarissa Arnold-Mages, (tarnoldmages*bwh_harvard_edu) map(*=@, _=.)

Education

PhD, Massachusetts Institute of Technology
MS, Massachusetts Institute of Technology
BS, Georgia Institute of Technology

Research and Current Projects

We leverage tools from machine learning and control to understand biological systems. Current and future projects:

• Statistical learning applied to microbial dynamics (Bayesian nonparametrics, layered latent state-space models)
  

• Genetically engineering and controlling a microbial consortia
  

• Theoretical foundations at the intersection of machine learning and control
  

• Host-Microbiome interactions

• Time series metagenomics

Selected Publications: (Google Scholar)

• Provably Correct Learning Algorithms in the Presence of Time-Varying Features Using a Variational Perspective
  J.E. Gaudio, T.E. Gibson, A.M. Annaswamy, and M.A. Bolender
  arXiv, 2019 Real-world Sequential Decision Making Workshop at ICML, 2019

• Dynamic Modulation of the Gut Microbiota and Metabolome by Bacteriophages in a Mouse Model
  B.B. Hsu, T.E. Gibson, V. Yeliseyev, Q. Liu, L. Bry, P.A. Silver, G.K. Gerber
  Cell Host and Microbe, 2019
  Cell Host and Microbe, Preview

• Robust and Scalable Models of Microbiome Dynamics
  T.E. Gibson and G.K. Gerber
  International Conference on Machine Learning, 2018 slides poster

• Convergence Properties of Adaptive Systems and the Definition of Exponential Stability
  B.M. Jenkins, A.M. Annaswamy, E. Lavretsky, and T.E. Gibson
  SIAM Journal on Control and Optimization, 2018

• Universality of human microbial dynamics
  A. Bashan, T.E. Gibson, J. Friedman, V.J. Carey, S.T. Weiss, E.L. Hohmann and Y.-Y. Liu
  Nature, 534, 259–262, 2016
  Nature News and Views Nature Physics Highlight

Links

Gibson Lab Website
Harvard Scholar
MIT directory
Harvard Catalyst directory
Division of Computational Pathology
Google Scholar