Biostatistics Virtual Admitted Student Experience
March 13, 2021 - 10:00 AM EST
A Welcome From our Chair
Interactive Program for Saturday, March 13, 2021:
| Time | Event | Presenter |
|---|---|---|
| 10:00am | Welcome to vASD | Michael Boehnke, Nicole Fenech |
| 10:15am | Welcome to UM Biostatistics | Bhramar Mukherjee, Chair |
| 10:30am | Research Presentation | TBA |
| 10:55am | Admissions, programs, and next steps | Michael Boehnke |
| 11:30am | Student panel* | TBA |
| 12:15pm | Wrap and final questions | |
| 12:30pm | End of interactive session |
Do you have questions you would like answered at the Admitted Student Day?
About our Research
Biostatistics faculty and students are conducting cutting-edge research in bioinformatics, imaging, longitudinal data, missing data, survival analysis, statistical genetics, and many other areas.
We are involved in a wide range of collaborative research activities with faculty in the schools of public health, medicine, nursing, dentistry, and the U-M Institute for Social Research, among others. Both our methodological and collaborative research are well-funded through grants from the National Institutes of Health and other government and private agencies.
Biostatistics student, Tian Gu
Dr. Mousumi Banerjeediscusses her research
Dr. Veera Baladandayuthapani discusses his research
Dr. Peter Song discusses his COVID-19 research
About our Department
The Department of Biostatistics at the University of Michigan School of Public Health is rated the top biostatistics program in the country by the National Academies. We bring biostatistical design and analysis expertise to a wide spectrum of health-related issues. Our faculty, students, and staff work in important and diverse areas of current biostatistical research; including Bayesian methods, causal inference, clinical trials, electronic health records, high dimensional inference, image analysis, longitudinal data analysis, machine learning, methods for missing data, mobile health, personalized prevention and treatment, statistical computing, statistical genetics, genomics and bioinformatics, survey research, and survival and event history analysis.
