Yilin Gao

Yilin Gao

Areas of Interest

While an undergrad, Yilin’s research experience consisted of working with Dr. Alex Lam Tsoi and his research, a computational approach called MEAGA (Minimum distance-based Enrichment Analysis for Genetic Association) that was developed to maximize statistical power to identify enriched functions/pathways in pathway analysis. Yilin focused on improving the running time and performance of MEAGA by utilizing an approximation approach when computing statistical significance. 

Credentials

  • B.S., University of Michigan (Statistics)