Shannon Quinn
Assistant Professor

Basic Information

Research Interests:

systems biology, bioimage analysis, data science

Office:
638A Boyd GSRC
Phone Number:

We study and develop in silico methods for quantifying spatiotemporal phenomena in the context of improving public health. This takes several forms: high-throughput image analysis of GFP-tagged z-stacks, machine learning to detect ciliary motion abnormalities in high-speed videomicroscope data, or applied statistics to predict and identify disease outbreaks.

Other Affiliations: