معرفی
Anna Green is an Assistant Professor at the Manning College of Information & Computer Sciences (CICS) at the University of Massachusetts Amherst. She directs the Sequence Analysis and Genomics (SAGE) lab, which focuses on developing computational methods to understand genetic variation, with special emphasis on antibiotic-resistant bacteria. Her research integrates machine learning with genomic analysis to predict antibiotic resistance and understand its genetic basis.
Education:
- Postdoctoral Fellow in Biomedical Informatics (2023) - Harvard Medical School
- PhD in Systems Biology (2019) - Harvard University
- BS in Molecular and Cell Biology (2013) - University of Connecticut
Her research program at SAGE Lab focuses on:
- Applying machine learning to genomic sequences to predict antibiotic resistance
- Developing interpretable models of resistance mechanisms in bacteria
- Studying evolutionary patterns in Mycobacterium tuberculosis populations
- Discovering protein interactions through computational analysis of genomic sequences
- Building frameworks for coevolutionary sequence analysis
Her recent publications demonstrate a consistent focus on antimicrobial resistance mechanisms in tuberculosis using cutting-edge computational approaches. Research spans machine learning applications, genomic dependency analysis, transcriptomic responses, and protein interaction mapping, consistently addressing public health challenges posed by evolving bacterial resistance.
Dr. Green teaches several courses including:
- Introduction to Computational Biology and Bioinformatics (INFO 390C)
- Computational Biology and Bioinformatics (CS 690U)
- Machine learning on biological sequence data (CS 692X)
She directs the SAGE Lab at UMass Amherst, where her team develops computational methods to combat antibiotic resistance through genomic analysis and predictive modeling.
