Unlocking insights from complex data to advance biomedical research and education and to improve population health.
The Division of Biostatistics develops and applies innovative designs and quantitative tools that extract knowledge from complex laboratory and clinical data. We promote sound statistical practice that fully leverages study results, fostering reproducibility and enabling accurate interpretation. This work plays a critical role within the Perelman School of Medicine and the broader biomedical research community.
In the data-rich world of biomedical research, biomedical data science plays a key role in knowledge discovery-to devise and validate new clinical strategies for managing and treating disease-and biostatistics is central to this enterprise.
As experts in inferential thinking, biostatisticians’ work enables the global scientific community to unlock new knowledge and population insights from sampled data. Our unique understanding of randomness and variability positions us to lead experimental design and build models that can account for design-induced systematic biases; handle structures inherent to complex data; adjust for multiplicities that could produce false discoveries; and rigorously assess causal inference for observational data.
Our research is inherently collaborative. We work across labs, divisions, and departments to promote sound experimental design, analytical procedures, and reproducible research to address complex biomedical challenges.
Deputy Director, Biostatistics
Professor of Biostatistics
Deputy Director, Biostatistics
Professor of Biostatistics
Associate Director, Biostatistics
Executive Assistant to Dr. Jeffrey Morris (Biostatistics)
Stay informed with the latest research findings, news, and events from our division.
Dr. Mary Putt and her team contributed to new research exploring how sleep drive impacts seizure severity and identifies a potential way to reduce them.
Join us in congratulating Dr. Nandita Mitra on her appointment to Penn’s Academic Planning and Budget Committee, where she will help guide the University’s academic and financial planning.
Dr. Jeffrey Morris was featured in The Atlantic and New York Magazine’s Intelligencer, where he discussed major flaws in widely cited vaccine studies and the risks of bias in study design.
Flawed study designs in nutrition research may be leading to misleading advice about healthy eating. DBEI’s Mary E. Putt, ScD, and co-authors warn that many popular dietary trials are too short and poorly structured to give reliable results-putting future nutrition guidelines at risk.
Associate Professor of Biostatistics
Alisa Stephens Shields, PhD, Associate Professor of Biostatistics, is recognized for her collaboration and impactful leadership in the realms of health, statistical education, and inclusion in the field. Her research focuses on extensions and innovative applications of causal inference approaches to enhance the design and analysis of clinical trials, as well as the development of patient-reported outcomes to inform population-appropriate trial endpoints. In this Q&A, Dr. Stephens Shields touches on her experiences in the DBEI research community, advice for students and early-career biostatisticians, and her recent 2024 Myrto Lefkopoulou Distinguished Lectureship from Harvard University.
Read Q&ABiostatistics research at Penn Medicine provides the statistical methods and analytical tools necessary to facilitate cutting-edge biomedical research and improve patient care. Collaborating with Epidemiology and Informatics, we discover and validate insights from complex data to develop precision strategies for disease prevention, risk reduction, therapy design, and population health guidelines.
Join a community of experts and mission-driven professionals committed to shaping the future of biomedical and population health data research through collaboration and scientific excellence. Explore available faculty and staff positions in the Division of Biostatistics and the department.