Sheng Li, Ph.D.

Assistant Professor

Applies data integration and machine learning to advance the frontiers of cancer epigenomics and evolution.

My research interest is to understand the inner workings of cancer cells – the genetic and epigenetic heterogeneity that drive cancer initiation and progression. We utilize computational and sequencing methodologies to identify and characterize the essential epigenetic lesions that guide cancer cells to evolve and escape from anti-cancer therapy. The ultimate goal is to develop novel methods to predict and address tumor evolution.

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Sheng Li Personal Lab Site