The Tan Lab conducts translational bioinformatics and cancer systems biology research to understand and overcome treatment resistance in cancer through biomarker discovery, predicting drug combinations, and co-targeting tumor microenvironment. The Tan Lab acts as a "connector" to provide seamless integration of computational and statistical methods in experimental and clinical research. Our lab is currently working in the following research areas:

1. Developing predictive biomarkers from multi-omics data integration
2. Decoding tumor ecosystems using integrative approach
3. Predicting drug combinations using network-based approach

Please visit our lab website for more information.