Travis E. Gibson, PhD
Harvard Medical School
Brigham and Women’s Hospital
Massachusetts Institute of Technology
The Broad Institute of MIT and Harvard
PhD: Massachusetts Institute of Technology
ABOUT THE LAB
We leverage tools from machine learning and control theory 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. The 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 Boston with space also at the MIT Stata Center in Cambridge. Dr. Gibson has primary faculty appointments at BWH and HMS with other appointments within the Computer Science and AI Lab at MIT and the Broad Institute of MIT and Harvard. Lab members are primarily drawn from HMS, Harvard, and MIT programs.
To learn more about our work visit the the official lab website gibsonlab.io
Travis received his PhD from MIT in control theory and interned for NASA and Boeing before redirecting his research to biomedical applications. Prior to joining the HMS faculty in 2019 he completed two research fellowships, one in Medicine, and the other in Pathology both at HMS and BWH.
LATEST LAB NEWS AND OPENINGS
Computational Biology (ML4Bio) Postdoctoral Fellow – Gibson Lab
Gibson Lab receives $2.2 Million NIH R35 grant “Machine Learning and Control Principles for Computational Biology “
Gibson Lab receives $450K NIH R21 grant “Tracking the microbiome: purpose-built machine learning tools for tracking microbial strains over time”
$2.9M grant from the National Science Foundation “The rules of microbiota colonization of the mammalian gut”