We integrate multidimensional biomedical data — including genomics and clinical data — to advance precision medicine and improve therapeutic strategies. Using computational biology and data science methodologies, we aim to develop computational methods to understand cellular heterogeneity in complex tissues and incorporate cutting-edge technologies to study cellular dynamics in the tumor-microenvironment affecting response to therapies. We also investigate real-world clinical data and develop machine-learning models to improve clinical decision-making. The lab branches to both basic and clinical research, and collaborates with computer scientists, bioengineers, basic experimental researchers and clinicians.