Francisco Sanchez-Vega is an Assistant Attending at the Computational Oncology Service in the Department of Epidemiology and Biostatistics with a secondary appointment in the Colorectal Cancer Service of the Department of Surgery. He is also the Head of Real-World Data Analysis at The Halvorsen Center for Computational Oncology. His research focuses on translational applications of machine learning, statistical modeling and computational methods to the field of cancer genomics and precision oncology. Since his arrival at MSK in 2015, he has worked in a wide variety of translational research projects. Notable examples include the analysis of molecular determinants of response to anti-HER2 targeted therapies in patients with ERBB2 positive esophagogastric adenocarcinomas, understanding the interplay between mutational burden and response to immune checkpoint inhibitors in lung adenocarcinoma and characterizing the genomic bases of organ-specific metastasis. Dr. Sanchez-Vega was also actively involved and played leadership roles in several projects from The Cancer Genome Atlas (TCGA). In April 2019, he joined the Colorectal Cancer Research Center at MSK, where he leads several research projects that aim to characterize the genomic landscape of somatic and transcriptomic alterations in colorectal cancer, including work focused on understanding racial disparities in colorectal cancer outcomes. His current research also involves the use of novel computational approaches for multimodal integration of genomic sequencing data and orthogonal sources of biological and clinical information.  These include features extracted from diverse imaging modalities (e.g., MRI, CT scans, endoscopies, tissue staining, etc.), other non-invasive approaches for longitudinal monitoring (e.g., liquid biopsies), and comprehensive clinicopathological annotations (e.g., lab results, multiple lines of treatment, detailed clinical outcomes).