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Maha Farhat

M.D., M.Sc.

Assistant Professor of Biomedical Informatics

Harvard Medical School

Dr. Farhat is an Assistant Professor of of Biomedical Informatics atHarvard Medical School and a a practicing physician at the Massachusetts General Hospital Division of Pulmonary and Critical Care Medicine.

Dr. Farhat's research focuses on the development and application of methods for associating genotype and phenotype in infectious disease pathogens, with a strong emphasis on translation to better diagnostics and surveillance in resource-poor settings. Farhat's work has focused on bacterial and viral pathoges and spans the spectrum from computational analysis to field studies. She is PI and Co-Investigator on several large projects funded by NIH including the NIAID and the BD2K initiative.

Maha Farhat holds an MD from the McGill University Faculty of Medicine and a MSc in biostatistics from the Harvard Chan School of Public Health. 

Maha Farhat

M.D., M.Sc.

Assistant Professor of Biomedical Informatics

Harvard Medical School

Dr. Farhat is an Assistant Professor of of Biomedical Informatics atHarvard Medical School and a a practicing physician at the Massachusetts General Hospital Division of Pulmonary and Critical Care Medicine.

Dr. Farhat's research focuses on the development and application of methods for associating genotype and phenotype in infectious disease pathogens, with a strong emphasis on translation to better diagnostics and surveillance in resource-poor settings. Farhat's work has focused on bacterial and viral pathoges and spans the spectrum from computational analysis to field studies. She is PI and Co-Investigator on several large projects funded by NIH including the NIAID and the BD2K initiative.

Maha Farhat holds an MD from the McGill University Faculty of Medicine and a MSc in biostatistics from the Harvard Chan School of Public Health. 

Recent Publications

Patient Determinants and Effects on Adherence of Adverse Drug Reactions to Tuberculosis Treatment: A Prospective Cohort Analysis

Published On 2025 Feb 20

Journal article

CONCLUSIONS: Half of participants on TB treatment experienced ADRs, but most remained adherent to treatment. Among participants with moderate or severe ADRs, those with poorly controlled HIV, alcohol use, or smoked substance use had lower adherence.


Complete genome sequence of a virulent barcoded Mycobacterium tuberculosis str. Erdman commonly used for non-human primate infection studies

Published On 2025 Feb 18

Journal article

Mycobacterium tuberculosis is the etiologic agent of tuberculosis (TB), which claims over a million lives per year. Here, we report the complete genome sequence of a virulent barcoded M. tuberculosis Erdman strain that has been used extensively for non-human primate infection research studies, characterized using long- and short-read technologies.