Georgia Doing

Hogan Lab, Geisel School of Medicine at Dartmouth

Georgia's research focuses on de-noising autoencoder-derived gene expression signatures for Pseudomonas aeruginosa elucidate virulence-promoting characteristics of ex vivo sputum from persons with cystic fibrosis. Her work uses machine learning to understand bacterial virulence in cystic fibrosis.

Conference

CSHL Biological Data Science 2020

Research Focus

• De-noising autoencoders
• Pseudomonas aeruginosa virulence
• Cystic fibrosis research
• Gene expression signatures
• Machine learning in microbiology
• Ex vivo sputum analysis