Tumors are molecularly diverse and each tumor is an evolutionary system on its own. The inter- and intra-tumor heterogeneity influence the clinical and biological behavior of cancers and has important implications in tumor progression, metastatic process and therapy resistance. The Oncogenomics lab focuses on developing and applying computational approaches to address challenges in precision oncology. In particular, we are interested in leveraging the abundance of omics data derived from clinically annotated samples in computational frameworks to advance our understanding in tumor cellular dynamics, to discover novel biomarkers and therapeutic targets and to elucidate genotype-to-phenotype associations in cancer.
