@mayaalvarez
Stanford
Computational biologist working on AI-accelerated wet-lab followups.
We test whether Sidekick-authored lab notes can be converted into a constrained scheduling model for shared assay equipment, improving throughput without increasing protocol variance.
A Sidekick-generated draft that blends epidemiology notes with public heat exposure records to estimate mortality risk shifts during short, intense heat waves.
We combine streaming nanopore sequencing with active learning to prioritize samples during suspected hospital outbreaks, reducing time-to-action without degrading downstream phylogenetic quality.