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Department of Biostatistics

People

Biostatistics faculty standing inside Raven’s Stadium in Baltimore (L-R) Michael Rosenblum, Andre Hackman, Elizabeth Stuart, Ni Zhao, Karen Bandeen-Roche, Abhirup Datta, Debashree Ray, John McGready, John Muschelli, and Scott Zeger

Meet Our Team

The Biostatistics department is a creative, close-knit community. 

Approximately 50 top of their field faculty call the Biostatistics Department their primary home, and the department benefits from many partnering and part time faculty as well. 

Biostats Alumni

Alumni

We have an extensive alumni network spanning the globe. From scientists to researchers to professors, we invite you to connect with them.

Biostats Students_Weber Cider Mill

Students

Our students are problem solvers and effective communicators. Mathematical aptitude, an ambition to discover, an interest in biomedical questions, dedication to improving health, and good communication skills are prerequisites.
Meet our MHS, ScM, and PhD Students!

Biostats Postdoctoral Fellows

Postdoctoral Fellows

Our Biostatistics Postdoctoral Fellows come from around the world to apprentice with our faculty leaders. Areas they pursue are as rich as the Department’s research directions.

Job-Seeking PhD Candidates & Postdocs

Are you an employer looking for an outstanding new hire? Meet our job-seeking Postdoctoral Fellows and PhD candidates from the Johns Hopkins Bloomberg School of Public Health, Department of Biostatistics.

job hunting
Department of Biostatistics Faculty Spotlight

Aki Nishimura, PhD, MS

Akihiko (Aki) Nishimura, PhD, MS, is an assistant professor in the Department of Biostatistics at the Bloomberg School of Public Health. Aki uses Bayesian methods and statistical computing to tackle methodological challenges in healthcare analytics and large-scale biomedical applications.

Student Spotlights

Grace Ringlein

Student Spotlight: Grace Ringlein

Grace Ringlein is a fourth-year PhD student in the Department of Biostatistics whose areas of focus include causal inference, measurement error, Electronic Health Record (EHR) data, mental health, and algorithmic fairness.

Amia Graye

Student Spotlight: Amia Graye

Amia Graye is a first-year ScM student in the Department of Biostatistics focusing on health disparities and causal inference.