Biostatistics Admitted Student Experience
March 16, 2024
On-Campus Admitted Student Experience
8:30 a.m. - 6:00 p.m.
Henry F. Vaughan School of Public Health I
1415 Washington Heights
Ann Arbor, MI 48109
Virtual Admitted Student Experience
9:00 a.m. - 12:00 p.m. EST
Registration is required and a livestream link will be provided in a separate confirmation
email.
RSVP BY MARCH 8 FOR BIOSTATISTICS ADMITTED STUDENT EXPERIENCE
The Department of Biostatistics at the University of Michigan is excited to welcome to Ann Arbor its newest cohort of potential future Wolverines to the 2024 Biostatistics Admitted Student Experience (BASE). At this event, admitted students will have the opportunity to:
- Meet members of the Michigan Biostatistics community including students, faculty and staff
- Learn more about the field of Biostatistics, our department, the University and Ann Arbor
- Learn about research being conducted by our community, including presentations by a faculty member and a current student
- Engage with a student panel to answer your questions about life in the department and in Ann Arbor
- Sit down with faculty for one-on-one or small group conversations
- And much more!
We look forward to meeting you in-person or connecting virtually for Biostatistics Admitted Student Day!
Event registration will close on Friday, March 8.
RSVP BY MARCH 8 FOR BIOSTATISTICS ADMITTED STUDENT EXPERIENCE
Travel & Accomodations Information
In-Person Schedule of Events:
| Time | Event | Presenter |
|---|---|---|
| 8:30am | Registration & Breakfast | |
| 9:00am | Welcome to Michigan Biostatistics | Bhramar Mukherjee, PhD Department Chair |
| 9:45am | Faculty Research Presentation | Michele Peruzzi, PhD Assistant Professor |
| 10:00am | Student Research Presentation | Jeffrey Okamoto PhD Student |
| 10:15am | Break | |
| 10:30am | Admissions and Support | Kelley Kidwell, PhD Department Associate Chair |
| 10:45am | Faculty & Staff Introductions | |
| 11:00am | Faculty Meetings | |
| 1:00pm | Lunch (Provided) and Meet & Greet with Faculty and Current Students | |
| 2:00pm | Information Session: Ann Arbor, Housing and Student Groups |
Daniela Angulo Lillian Rountree Mike Sweeney Hanna Venera |
| 2:15pm | Student Panel |
Daniela Angulo Lillian Rountree Kirill Sabitov Mike Sweeney Rachel Tucker Hanna Venera Zihan Wang Youqi Yang |
| 3:15pm | Closing | |
| 4:00pm | Biostatistics Student Association Campus Tour (meet in SPH I main lobby) |
|
| 5:00pm | Student Meet & Greet and Refreshments at Pizza House |
Virtual Schedule of Events:
| Time | Event | Presenter |
|---|---|---|
| 9:00am | Welcome to Michigan Biostatistics | Bhramar Mukherjee, PhD Department Chair |
| 9:45am | Faculty Research Presentation | Michele Peruzzi, PhD Assistant Professor |
| 10:00am | Student Research Presentation | Jeffrey Okamoto PhD Student |
| 10:15am | Break | |
| 10:30am | Admissions and Support | Kelley Kidwell, PhD Department Associate Chair |
| 10:45am | Faculty & Staff Introductions | |
| 11:00am | Information Session: Ann Arbor, Housing and Student Groups |
Mike Sweeney Hanna Venera |
| 11:15am | Student Panel |
Mike Sweeney Hanna Venera |
| 11:50am | Closing Remarks |
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 Banerjee discusses her research
Dr. 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.
Diversity, Equity and Inclusion
About the School of Public Health
More information about School of Public Health Admitted Student Events
