Advancing health systems that continuously learn and improve by discovering complex patterns in big data.
The Division of Informatics advances biomedical and healthcare research, public health, and patient care through the development of innovative methods, approaches, and technologies. Leveraging our expertise in artificial intelligence, machine learning, translational informatics, natural language processing, and the integration of diverse data types, we support Penn Medicine’s evolution as a learning health system.
Translational research is at the core of everything we do. Our research community is focused on bridging the gap between theoretical knowledge and data-driven insights into real-world clinical applications that directly benefit patients, populations, and improve public health outcomes. Informatics plays a pivotal role by enabling the efficient collection, analysis, and interpretation of expansive and diverse data, which is essential for transforming scientific discoveries into practical medical applications.
Within our division, we understand that novel healthcare solutions don’t occur in isolation—they require collaboration. Bringing scientific breakthroughs from bench-to-bedside is a complex process that demands a multidisciplinary approach, uniting data scientists, clinicians, and healthcare professionals. Since people are the ultimate end-users of biomedical information, we also routinely draw upon the social and behavioral sciences. This collaborative synergy facilitates the progression of data-driven insights into groundbreaking treatments, diagnostics, and preventive measures, thereby reshaping the landscape of patient care and population health.
Associate Director, Informatics
Interim Director, Informatics
Professor of Informatics
Stay informed with the latest research findings, news, and events from our division.
In this Faculty Spotlight video, Russell Taki Shinohara, PhD, shares insights into his research on multiple sclerosis, medical imaging, and the statistical methods used to better understand disease progression and advance precision medicine.
DBEI is proud to congratulate Yong Chen, PhD, on being elected a 2026 Fellow of the Institute of Mathematical Statistics in recognition of his outstanding contributions to biostatistics and statistical science.
Qi Long, PhD, has been elected to the 2026 Class of AIMBE Fellows, one of the highest professional honors in medical and biological engineering.
AWS recently highlighted work led by Joost Wagenaar on scalable cloud-native infrastructure for biomedical research, featuring the Pennsieve platform as a model for secure scientific data management and collaboration at scale.
Senior Application Developer
Sriharsha Mopidevi, MS, is a software engineer and researcher in the AI-4-AI Lab within the Department of Biostatistics, Epidemiology, and Informatics. His work focuses on developing privacy-preserving artificial intelligence systems and research infrastructure that enable the secure use of multimodal clinical data. By combining expertise in software engineering, machine learning, and healthcare informatics, he builds tools that help researchers access, manage, and analyze complex clinical data while protecting patient privacy and supporting collaborative research.
In this Q&A, Sriharsha shares what inspired him to bridge the gap between AI and clinical research, how his work addresses real-world challenges in healthcare data privacy and usability, what he values most about DBEI’s interdisciplinary environment, the research achievements he is most proud of, and the interests that keep him inspired outside of work.
Read Q&AInformatics research at Penn Medicine drives healthcare advancements by leveraging AI, machine learning, and natural language processing. We integrate diverse data sources to enhance life sciences research and patient care, applying novel methods to study diseases and optimize clinical workflows. Our research also incorporates the social and behavioral sciences to refine technical solutions and systems.
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 Informatics and the department.