Dr. Chengqi Wang's research focuses on understanding how the biological systems that underlie healthy life and disease react to variations in their makeup (genetic variation, for example) or their environment (drugs, for example). He employs statistical inference (MCMC and Bayesian modeling, for example), optimization algorithm, and machine learning to discover patterns in large datasets (multi-omics data, for example), understand mechanisms, and act upon predictive and causal relationships to, ultimately, address questions in genomics and molecular medicine.