Georg K. Gerber, MD, PhD, MPH
Associate Professor of Pathology
Harvard Medical School
Member of the Faculty
Massachusetts Institute of Technology,
Health Sciences & Technology
Division of Computational Pathology,
Brigham and Women’s Hospital
Massachusetts Host-Microbiome Center
MD, Harvard Medical School
PhD, Computer Science and Biomedical Engineering, Massachusetts Institute of Technology (HST)
MPH, Infectious Diseases, UC Berkeley
ABOUT THE LAB
Our lab develops and applies advanced computational methods to solve relevant biomedical problems furthering the understanding, diagnosis and treatment of human diseases. A unique aspect of my lab is the close integration of advanced machine learning and cutting-edge experimental techniques. And, because our goal is ultimately to improve diagnosis and treatment of human diseases, close collaborations with clinicians and industry colleagues is a vital component of the lab’s activities.
From the computer science perspective, we focus on innovation, developing novel statistical machine learning models incorporating techniques including Bayesian methods, deep learning, and dynamical systems approaches. From the biology perspective, a major focus of the lab is understanding the dynamics of the microbiome, or trillions of micro-organisms living on, within and around us, and its role in human diseases such as food allergy and C. difficile infection. A second area of great interest to my lab is the use of synthetic biology coupled with high-throughput experiments to understand and manipulate the microbiome.
Dr. Gerber’s training includes a Fellowship in Infectious Disease Pathology and Molecular Microbiology at BWH, Residency in Clinical Pathology at BWH, MD from Harvard Medical School, Masters’ and PhD in Computer Science (Machine Learning, supervised by David Gifford and Tommi Jaakkola) from MIT, and Masters’ in Infectious Diseases and BA in Pure Mathematics from UC Berkeley. Prior to returning to graduate school, he founded several companies focused on developing and applying 3D graphics technologies to create feature and IMAX® films starring actors such as Denzel Washington, Russell Crowe, and Danny DeVito.
LATEST LAB NEWS AND OPENINGS
Gerber Lab’s “MDITRE: Scalable and Interpretable Machine Learning for Predicting Host Status from Temporal Microbiome Dynamics” is mSystems Editor’s Pick
Graduate Students, Gerber Lab
Postdoctoral Fellow, Deep Learning for Microbiome, Gerber Lab
Research Scientist, Machine Learning for Microbiome
The Massachusetts Lab for Artificial Intelligence/Deep Learning for the Microbiome