Thomas M. Norman, PhD

Dr. Norman aims to build a computational model of cancer genetics and understand the roles played by the complex interaction of genes. Though some cancers are characterized by very specific mutations, other cancers display a host of relatively common mutations, along with a string of infrequent mutations. He has developed technology to collect and integrate large data sets of experimental results with patient data to create a predictive model. This can be used to understand how a patient’s unique spectrum of mutations combine to give rise to cancer. In addition, his work may help to prioritize therapies in precision oncology and uncover hidden gene targets leading to new therapies.