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
News
- Apr 15
Dr. Daniella Meeker (Yale School of Medicine) Presenting at PennCIL April 24, 2026
Register to attend virtually: https://pennmedicine.zoom.us/meeting/register/akIGem-eQuKwy2Deuw0Pfg#/registration
- Apr 15
- Mar 07
Dr. Yong Chen Presents Causal AI framework for Drug Development at the ASA STATBOLIC 2026 conference
Dr. Yong Chen presented the XYZ framework, a simple “three variable” way to think about causal AI in drug development where X is the treatment, Y is the outcome, and
- Mar 07
Bingyu Zhang and Yiwen Lu Discuss Long COVID and BMI Research in The Daily Pennsylvanian
PennCIL Lab PhD candidates Bingyu Zhang and Yiwen Lu were recently interviewed by The Daily Pennsylvanian about a RECOVER EHR study published in Journal of Infection linking body mass index