Ph.D. Presentations

Artificial intelligence and machine learning models depend on large and diverse datasets to learn patterns across different situations and generalize to cases they have not seen before. In cybersecurity, suitable data is difficult to find for two main reasons: first, sensitive information limits what organizations can share; second, public datasets often lack the coverage or […]

A complete and accurate genome reconstruction serves as the foundation for studying an organism’s biology and the mechanisms underlying disease. It is particularly critical for reference genomes, which provide a universal coordinate system for downstream genomic analysis. Errors or missing sequences in a reference genome create bias in all of the studies built on top […]