معرفی
Maha Reda Farhat is an Associate Professor of Biomedical Informatics at Harvard Medical School, affiliated with the Department of Biomedical Informatics. She holds an MD from McGill University and an MSc in Biostatistics from the Harvard T.H. Chan School of Public Health. Her research focuses on genomic epidemiology of infectious diseases, particularly Mycobacterium tuberculosis, with an emphasis on antibiotic resistance mechanisms and public health applications. Farhat is a principal investigator on several NIH-funded projects, including studies on RNA nanosensors for TB diagnosis and genomic tools for pathogen analysis.
Her work integrates computational methods with clinical data to address global health challenges. Notable projects include developing predictive models for TB transmission dynamics and leveraging artificial intelligence for disease severity assessment. Farhat collaborates with global institutions to improve infectious disease surveillance and digital health infrastructure in low-resource settings.
She is part of the Program in Global Surgery and Social Change and contributes to initiatives like the Cummings Foundation Professorship. Her research has been published in high-impact journals such as Nature Communications and bioRxiv, with a focus on genomic analysis, drug resistance, and epidemiological modeling.
