A Computing, Inference and Learning lab at Penn School of Medicine
Director of the Penn Computing, Inference and Learning (PennCIL) lab
Welcome From Yong Chen, PhD
Improving human health by prime insights from data
In the last decade, there has been major advances in the production and collection of data, from medical research to patient wellness regimes. These vast new troves of data from electronic health records, claims/billing data, product/disease registries, genetic/genomic databases, medical devices and wearables offer a unique opportunity to make health care more proactive. Transforming these data into insights requires deep understanding of the provenance of the data, the collection procedure of the samples, the intercorrelations among the variables, the quality of the data, and the uncertainty associated with the analytical results from models.
Our overriding objective is to develop, apply and disseminate new methods and software for evidence generation using clinical trial and real-world data, and to bridge the gap from data to insights, and from insights to actionable health care.
For examples of our innovative research projects, please visit our xmeta-project (put a hyperlink here: https://xmeta.org/) as a comprehensive tool for advanced meta-analysis, and pda-project (put a hyperlink here: https://pdamethods.org/) as an innovative solution for next generation data sharing for multi-institutional studies.
On behalf of our lab members, I want to thank the continuous funding supports from NIH, PCORI and
- Mar 12
We are recruiting postdocs! For more information, please see the link https://forms.stat.ufl.edu/statistics-jobs/entry/7815/
- Nov 30
PhD candidate Mac Edmondson is joining Merck as a Senior Scientist in 2021. Congratulations on the next chapter of your career!
- Nov 30
PhD candidate Arielle Marks-Anglin is joining Mathematica as a Human Service Researcher in 2021. Best wishes for the next chapter of your career!
- Jul 14
Welcome postdoc research fellow Dr. Xiaokang Liu to our PennCIL group! Yuchen got her PhD from the Department of Statistics at University of Connecticut. Find out more about her research here.