Graduate students

Grace is a PhD student in the Bioinformatics and Integrative Genomics program. She is broadly interested in pathogen evolution. Her current research in the Farhat Lab focuses on exploring the evolution of Mycobacterium tuberculosis (Mtb) over both long...

Haoyang is currently a master’s student in Biomedical Informatics. He is passionate about using bioinformatics methods to analyze genetic data, aiming to connect it with real-life, health-related biomedical questions, such as finding associations between...

Sanjana is a PhD student in the Virology program. She is interested in pathogen evolution and predicting clinically relevant features of pathogens using computational models. Her research involves using machine learning to predict antibiotic resistance...

Christie is a second-year student at Harvard Medical School with interests in global health and infectious diseases. Prior to attending medical school, she spent two years working on a community-based tuberculosis project in Lima, Peru. Her current...

I’m a graduate student in Biomedical Informatics at Harvard Medical School. My research interests include using AI and machine learning to conduct genomic analysis, and to aid medical decision making. Currently I’m working on the detection of gene...

Husain is an infectious diseases and clinical microbiology trained physician with a research focus on tuberculosis and non-tuberculous mycobacteria, and is currently a student in the MPH in Epidemiology program at the Harvard Chan School of Public Health...

Maximilian is currently a graduate student in the Systems Biology PhD program, and is broadly interested in the evolution of the pe and ppe gene families in Mycobacterium tuberculosis.

I am a PhD student in the Bioinformatics and Integrative Genomics program. I am interested in biomedical research at the intersection of genomics, immunology, epidemiology and public health. I study tuberculosis (TB), a disease that is prevalent in my...

Yasha is a PhD student in the BIG Program interested in studying the intersection of machine learning and infectious disease. Specifically using machine learning to leverage the wealth of data being generated by whole genome sequencing technologies. With...