Research and Practice
Research Working Groups
Research in the Department of Biostatistics is organized into the following Working Groups comprised of faculty, postdoctoral fellows, and students. Groups meet regularly in a variety of intellectual meeting formats including research-in-progress sessions, journal club, topical seminars and working discussions. These span population modeling methodologies, “big data” methodologies and applications in both statistical genomics and advanced research technologies such as neuroimaging and wearable computing, causal inference, and the department’s major application areas of environmental health and epidemiology and aging. Faculty and students disseminate their work through publications, software, blogs, and other avenues. For additional information, please read more about our research areas and visit the websites of each of our Working Groups listed below.
Our research is characterized by a commitment to statistical science, its foundations and methods, and the application of statistical science to the solution of public health and biomedical problems. Research that occurs at the interface of quantitative reasoning and important public health and biomedical questions is particularly potent. We are fortunate to have the opportunity to build our research efforts on the foundation of first-rate biomedical discoveries made here at Johns Hopkins.
Epidemiology & Biostatistics of Aging
The Epidemiology and Biostatistics of Aging training program prepares pre-doctoral and postdoctoral fellows in the methodology and conduct of significant clinical- and population-based research in older adults. Learn more.
Environmental Epidemiology & Biostatistics
The Environmental Biostatistics Working Group meets regularly to discuss statistical and scientific research problems in the area of the environment and health. It is an interdisciplinary group of researchers from around the University in areas including environmental health, medicine, atmospheric modeling, epidemiology, and biostatistics.
Bayesian Learning & Spatio-temporal modeling (BLAST)
The growing availability of data from a variety of sources gives us opportunities to investigate public health questions we previously could not have asked. We cannot, however, extract meaningful insights without property accounting for complex structures underlying modern large-scale data. Bayesian and Spatio-temporal models are ideally suited to this task, yet major methodological and computational challenges remain in their practical deployment. This working group explores ideas and innovations necessary to meet these challenges. Application areas of interest include, but are not limited to, precision medicine, environmental health, disease epidemiology, genomics, healthcare analytics, etc. For further information and/or to sign up for the mailing list, contact the group leaders Abhi Datta at email@example.com and Aki Nishimura at firstname.lastname@example.org
The Johns Hopkins Biostatistics Center
The Johns Hopkins Biostatistics Center (JHBC) is the practice arm of the nationally-leading Johns Hopkins Department of Biostatistics. JHBC is primarily composed of PhD/Senior and MS level biostaticians and data managers/programmers at the ranks from Research Associate to Associate Scientist (non-tenure track Associate Professor). JHBC collaborates with researchers within the Johns Hopkins Medical institutions as well as other academic research centers, health research organizations, pharmaceutical companies and government agencies to enhance the quality, integrity and validity of their research.