We leverage tools from machine learning and control theory to understand biological systems, and we are obsessed with uncertainty quantification. 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 logo, shown again below, depicts a feedback control loop at the top, contour lines of a kernel density fit with samples on the right, and seperating nucleotide chains on the bottom left. For more details on work in the lab go to our research tab.
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 Boston with space also at the MIT Stata Center in Cambridge. Dr. Gibson has primary faculty appointments at BWH and HMS with secondary appointments at MIT and the Broad Institute. Lab members are primarily drawn from HMS, Harvard, and MIT programs.
Funding
- NIH R35GM143056, 2021-2026, $2.2M - Machine Learning and Control Principles for Computational Biology
- NIH R21AI154075, 2021-2023, $450K - Tracking the microbiome: purpose-built machine learning tools for tracking microbial strains over time
- NSF MTM2, 2020-2025, $2.9M - The rules of microbiota colonization of the mammalian gut
Collaborators
- Berger Lab - MIT
- Walt Lab - BWH, HMS, Wyss Institute
- Gerber Lab - BWH, HMS
- Wang Lab - Columbia
- Active Adaptive Control Lab - MIT (Annaswamy)
- Hultgren Lab - WUSTL
- Bacterial Genomics Group - Broad Institute (Earl)
Locations
Gibson Lab
Offices in 8002 (8th floor left out of elevator)
Hale Building for Transformative Medicine (BTM)
60 Fenwood Road, Boston MA 02115
Dr. Gibson - Primary Office
8002D Hale BTM
Dr. Gibson - MIT Office
MIT Stata Center (32-G570)
32 Vassar St, Cambridge MA 02139