The Epidemiology Data Center at the University of Pittsburgh is celebrating 40 years of collaborative research!
The Epidemiology Data Center (EDC) was established in 1980 as a section of the Department of Epidemiology in the School of Public Health. It was founded by Katherine M. Detre, M.D., Dr.P.H., and is under the co-direction of Maria Mori Brooks, Ph.D., Steven H. Belle, Ph.D. and Stephen R. Wisniewski, Ph.D.
In recognition of our 40th anniversary we are asking alumni, collaborators, and friends to contribute to the Katherine Detre Scholar Fund.
The Katherine Detre Scholar Fund was established to supplement financial support provided through a Graduate Student Researcher (GSR) position in the Epidemiology Data Center. Recipients of this scholarship are promising incoming students who exemplify the strengths and spirit of Katherine Detre.
Our Mission: The Epidemiology Data Center (EDC) provides a research environment in which complex health questions can be explored and answered using the combined tools of biology and statistics. The EDC establishes collaborations with clinical researchers to design, conduct, and analyze multicenter randomized clinical trials and epidemiological studies. To contribute to the development of new knowledge, the EDC develops and refines data collection, data management, computing, and statistical methods, with the ultimate goal of advancing treatment and prevention of disease.
Past recipients of the Katherine Detre Scholar Fund:
Sheng-Chia Chung, PhD candidate in Epidemiology, BARI 2D GSR
Jennifer Njoroge, PhD candidate in Epidemiology, SAVE GSR
Andrew Althouse, PhD candidate in Epidemiology, BARI 2D GSR
Marc Tian, PhD candidate in Epidemiology, SNAP GSR
Sylvia Lin, PhD candidate in Epidemiology, HBRN GSR
Kathleen Creppage, DrPH candidate in Epidemiology, TED GSR
Alexis Nasr, PhD candidate in Epidemiology, SWAN-HDL GSR
Yuqing Chen, PhD candidate in Epidemiology, SWAN GSR
Contributions received for this project shall be used in accordance with the purpose described herein, the terms in the FAQs and applicable law. For questions that cannot be answered in the FAQs, please call 412-648-4658 or email email@example.com.