Ruiqi Li

Ruiqi’s research interests revolve around developing computational approaches for analyzing single cell data. She is currently focusing on cluster-independent marker feature identification, utilizing graph-based unsupervised learning methods, to gain deeper insights into cellular heterogeneity.