Biostatistics
We create and apply methods for quantitative research in the health sciences, and we provide innovative biostatistics education, making discoveries to improve health.
Biostatistics Headlines
![Zoey Hall](/sites/default/files/styles/card_image/public/2024-06/zoeyhall.jpg?h=e4d0a8f4&itok=fudW7Ji_)
Internship Spotlight: Zoey Hall
Through the Diversity Summer Internship Program for Undergraduates, Zoey Hall is interning in the Department of Biostatistics, working on research related to the Boston Birth Study Cohort.
![Biostatistics Faculty](/sites/default/files/styles/card_image/public/2024-06/biostatisticsfaculty.jpg?h=f7026c63&itok=81WZhJNO)
Department of Biostatistics Welcomes 3 New Faculty
The Department of Biostatistics is excited to welcome three new faculty members this summer and fall.
![Circadian rhythm](/sites/default/files/styles/card_image/public/2024-06/brainclock.jpg?h=f7026c63&itok=3d4iuq7T)
Understanding Sleep, Activity, and Circadian Rhythms in Major Depressive Disorder
A new study shows the importance of looking at a person’s 24-hour behaviors comprehensively, and what that could mean for the prevention and treatment of depression.
What We Do in the Department of Biostatistics
The Bloomberg School's Department of Biostatistics is the oldest department of its kind in the world and has long been considered one of the best. Our faculty conduct research across the spectrum of statistical science, from foundations of inference to the discovery of new methodologies for health applications.
Our designs and analytic methods enable health scientists and professionals across industries to efficiently acquire knowledge and draw valid conclusions from ever-expanding sources of information.
Biostatistics Highlights
First in U.S.
First freestanding statistics department in the U.S.
Impact
Data science driving health and empowering opportunity
Discovery
Foundational discoveries for inference and modeling
Community
Creative, close-knit community
Biostatistics Programs
The Department of Biostatistics offers three graduate programs to applicants with a bachelor's degree (or higher) interested in professional or academic careers at the interface of the statistical and health sciences.
We also have funded training programs in the Epidemiology and Biostatistics of Aging for PhD students who are U.S. citizens or permanent residents.
Master of Health Science (MHS)
Our one-year MHS program provides study in biostatistical theory & methods. It is also open to students concurrently enrolled in a JHU doctoral program.
Master of Science (ScM)
Our ScM targets individuals who have demonstrated prior excellence in quantitative or biological sciences and desire a career as a professional statistician.
Doctor of Philosophy (PhD)
Our PhD graduates lead research in the foundations of statistical reasoning, data science, and their application making discoveries to improve health.
Vadim Zipunnikov, PhD
Vadim Zipunnikov, PhD is an associate professor in the Department of Biostatistics, a faculty member of the Statistical Methodology and Applications in Technology (SMART) working group, and a co-leader of the Wearable and Implantable Technology (WIT) working group. He was recently the lead author of a new study in JAMA Psychiatry which aimed to understand how sleep, physical activity, and circadian rhythms relate to major depressive disorder (MDD).
![Vadim Zipunnikov, PhD](/sites/default/files/styles/image_component/public/2024-06/vadimzipunnikov.jpg?h=ca6532a2&itok=3w8GIQYh)
Biostatistics Consulting Center
The Johns Hopkins Biostatistics Center is the practice arm of our Department, providing the latest in biostatistical and information science expertise to a wide range of clients both within and outside Johns Hopkins.
![group of hands reviewing documents](/sites/default/files/styles/image_component/public/2021-08/group-of-hands-reviewing-plans-1217833762.jpg?h=ca6532a2&itok=XI-uPGBK)
Boyi Guo, PhD, Postdoctoral Fellow
Boyi Guo, PhD is a postdoctoral fellow in the Department of Biostatistics being mentored by Dr. Stephanie Hicks. Boyi is an applied statistician and biomedical data scientist working at the intersection of machine learning, computational omics, and population health.
![Boyi Guo](/sites/default/files/styles/image_component/public/2024-06/boyiguo.jpg?h=ca6532a2&itok=44H3eUNQ)
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