Michael A. Newton
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's work has been recognized by a number of professional societies. He received the 2003 Mortimer Spiegelman Award from the American Public Health Association, which honors an outstanding public health statistician under age 40. In 2004, Dr. Newton was named the Presidents' Award winner from the Committee of Presidents of Statistical Societies (COPSS), one of the profession's most prestigious awards. Dr. Newton is an elected fellow of the American Statistical Association and the International Statistics Institute. At UW-Madison, Dr. Newton has been recognized as a Kellet Professor.
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.
Dr. Newton is Professor in the Departments of
Statistics and of
Biostatistics and Medical Informatics (BMI). He has been serving as interim chair of BMI since July, 2018.
- Dr. Newton teaches Stat 771 (computational statistics), Stat 775 (Bayesian analysis), Stat 609-610 (Mathematical Statistics), Stat/BMI 877 (Statistical methods in molecular biology), and other courses.
- List of courses
- Dr. Newton is a trainer in several PhD training programs and is co-PI for the Bio-data science predoctoral training program