At UW-Madison, biometry refers to the development and application of statistical methods for the biological, physical, and social sciences primarily in the College of Agricultural and Life Sciences (CALS). The faculty members in Biometry have joint appointments in the Department of Statistics and another department. The program also includes staff members and project assistants in the CALS Statistical Consulting Lab. Students who are interested in the M.S. in Biometry and the Ph.D. in a biological science can find more information in the GUIDE and on the Academics -> Biometry page.
Biostatistics & Medical Informatics (BMI)
The rapidly growing availability and importance of biomedical data, including electronic medical records (EHR), biomedical imaging, and genomics/proteomics/metabolomics, pose unique opportunities and raise the demand for novel research that focuses on improving the understanding of the mechanisms of disease with important applications to human health. The key areas of inquiry of BMI faculty lie in clinical biostatistics, statistical genetics and genomics, bioinformatics, image analysis, clinical informatics, and population health biostatistics. More information about BMI research and admission processes for the PhD in Biomedical Data Science program can be found on the BMI website.
Data Science Hub
The Data Science Hub hosts training to help researchers learn the skills they need to reproducibly write software and analyze data. For more information about these workshops and others offered elsewhere on campus, click here.
Institute for Foundations of Data Science (IFDS)
During the past decade, researchers across campus have done important work in diverse aspects of fundamental data science, as well as in applications to numerous areas of domain science, engineering, and medicine. This group forms the core of the Institute for Foundations of Data Science (IFDS) at UW-Madison. For more information, please visit the IFDS website.
Machine Learning for Medical Imaging (ML4MI) Initiative
The overall purpose of the ML4MI initiative is to foster interdisciplinary collaboration between machine learning (ML) experts and medical imaging researchers at the University of Wisconsin, in order to develop and apply state-of-the-art ML solutions to challenging problems in medical imaging. This initiative responds to rapidly growing interest in ML techniques within medical imaging research, due to the unprecedented potential to solve challenging problems in areas such as image reconstruction, image processing, and computer-aided diagnosis. For more information about the ML4MI initiative, please visit the ML4MI website.
Collaborations with other Departments
One of the strengths of our department is to foster collaborative research at the interface of statistics. Departments Statistics faculty is affiliated with include Botany, Computer Sciences, Electrical and Computer Engineering, and Mathematics.