“Novel healthcare solutions don’t occur in isolation.” Combining the statistical rigor of biostatistics, the population-level insights of epidemiology, and the data-driven innovations of informatics, our department addresses today’s most complex health challenges.
Our Faculty Spotlight video series highlights the people behind the research at DBEI. Through conversations with faculty members, these interviews explore the questions driving their work and the impact of their research on science and public health. Watch the next video in the series featuring Taki Shinohara, PhD.
In this interview, Dr. Russell Taki Shinohara discusses his research on multiple sclerosis, medical imaging, and the statistical methods that help researchers better understand complex biomedical data. Learn how his work at Penn Medicine is advancing precision medicine by improving the way MRI data are analyzed to better track disease progression and support more personalized care for people living with multiple sclerosis.
Embracing the interdisciplinary culture of Penn Medicine, we pursue cutting-edge research across disciplines, departments, and centers to enhance population health and shape the future of healthcare.
Stay informed with the latest research findings, news, and events. Discover how our faculty, researchers, and students are advancing the fields of biostatistics, epidemiology and informatics, and enhancing health and well-being for everyone.
Michael Levy, PhD, co-authored a new study exploring an adaptive approach to vector control inspired by the immune system, showing promise in an ongoing Chagas disease campaign in Peru.
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CHIRP researchers found that women with polyendocrine metabolic ovarian syndrome (PMOS), formerly known as PCOS, face a significantly higher risk of heart attack, stroke, and other cardiovascular disease.
A new publication from Sean Hennessy examines how climate change influences medication use and highlights opportunities to build more resilient and sustainable healthcare systems.
CHIRP postdoctoral fellow Yajnaseni Chakraborti has received an NIH Pathway to Independence (K99/R00) Award to study how everyday endocrine-disrupting chemicals may affect fertility and early pregnancy.
Sriharsha Mopidevi, MS, is a software engineer and researcher in the AI-4-AI Lab within the Department of Biostatistics, Epidemiology, and Informatics whose work focuses on developing privacy-preserving AI systems for clinical research. In this Q&A, Sriharsha shares what inspired his work, the real-world challenges it addresses, and what he values most about DBEI’s collaborative environment.
Discover upcoming events from the DBEI, where expertise drives impact. Join us for weekly seminars, innovative conferences, and engaging academic programs designed to advance knowledge and foster collaboration in biostatistics, epidemiology, and informatics.
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Our community is driven by innovation and collaboration, bringing together leading experts in biostatistics, epidemiology, and informatics to advance public health and biomedical research.
Through robust educational programming and partnerships, we empower and equip the next generation of researchers to shape the future of population health science.
