Shengqing (Stan) Gu
Assistant Professor
The University of Texas MD Anderson Cancer Center
Department of
Our lab is interested in enhancing the efficacy of cancer immunotherapy by modulating cell-cell
interactions. To achieve this goal, we integrate various cutting-edge experimental and
computational approaches in the areas of functional genomics, single-cell/spatial multi-omics,
data mining, machine learning, and mathematical modeling, among others.
Context-dependent gene regulation
We aim to perturb gene expression in the tumor to enhance immunotherapy with desired immunomodulatory effects.
Novel mechanisms of cell-cell interaction
The essence of the anti-cancer immune response lies in cell-cell interactions. Our previous research investigated multiple aspects of such interaction at different levels.
Dynamics of anti-cancer immune response
With the expanding options for cancer therapy and vast possibilities for drug scheduling, we need quantitative models of the response dynamics to rationally design combination strategies.
Education & Training
PhD - University of Toronto - 2016