Jason Fan’s current goal is to design small data-structures—or indexes—to support fast sequence queries against tens of human scale genomes, or tens of thousands of bacterial genomes.
It will support Maryland Cybersecurity Center students and postdocs traveling to academic conferences, workshops or other research events focused on cybersecurity or privacy.
She was recognized as a visionary for her work in making AI more trustworthy, and developing models that can perform tasks safely and efficiently in unseen environments without human oversight.