Dr. Newton does research in data science for basic and translational biomedicine. His contributions span applications in cancer biology, immunology, genomics, methodologies for high-dimensional biostatistical inference, and theory for computational statistics. Dr. Newton leads a diverse, inclusive, and cutting-edge research group, with Ph.D. graduates now in leading positions in academia and industry. His lab collaborates extensively with UW Madison investigators.
Dr. Newton served on the NIH Genome study section from 2000-2004, and on the Biostatistical Methods and Research Design (BMRD) study section from 2012-2015. He is a founding editor of the Annals of Applied Statistics. At UW-Madison, Dr. Newton serves on the internal advisory committee for the Center for Human Genomics and Precision Medicine and on the steering committee for the Data Science Hub. Dr. Newton is also co-Director of the UW/NIH Center for Predictive and Computational Phenotyping (CPCP), co-PI of the UW/NSF Institute for the Foundations of Data Science (IFDS), co-PI of the NIH Funded (T32) Bio-Data Science Training Program, and co-director of the Genetics and Epigenetics Mechanisms Program in the UW Comprehensive Cancer Center.