News
September 21, 2022
PENNCIL TEAM IS LEADING A NATIONAL MULTI-INSTITUTIONAL STUDY TO USE AI TO ADVANCE EARLY DETECTION OF RARE DISEASES.
We are excited to launch this 4-year study, co-led by Peter Merkel at Penn and Jiang Bian at the University of Florida, to take real-world data based evidence generation to its next level of informing clinical practice and decision-making. We […]
News
March 12, 2021
Postdoctoral Research Fellow Position Available
We are recruiting postdocs! For more information, please see the link https://forms.stat.ufl.edu/statistics-jobs/entry/7815/
News
November 30, 2020
PhD candidate Mac Edmondson is joining Merck in 2021
PhD candidate Mac Edmondson is joining Merck as a Senior Scientist in 2021. Congratulations on the next chapter of your career!
News
November 30, 2020
PhD candidate Arielle Marks-Anglin is joining Mathematica in 2021
PhD candidate Arielle Marks-Anglin is joining Mathematica as a Human Service Researcher in 2021. Best wishes for the next chapter of your career!
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.
Welcome postdoc research fellow Dr. Yuchen Yang to our PennCIL group! Yuchen got her PhD from the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health. Find out more about her research here.
PhD student Rui Duan will defend her thesis, entitled “EHR Data + X: Expanding the Reach of EHR Through Data Integration” via BlueJeans, on April 8th at 2 pm.
PhD student Rui Duan is joining Harvard University as a tenure-track Assistant Professor of Biostatistics in August 2020. Congratulations!!!
Yong Chen, Ph.D. has been named fellow of the American Statistical Association (ASA), the field’s largest and most prestigious professional organization in the United States. Please check out the DBEI news.
News
March 31, 2020
EHR and Polygenic Risk Score for Predicting Disease Risk
Check out our recently published Nature Review Genetics paper on “Electronic health records and polygenic risk scores for predicting disease risk” coauthored by Ruowang Li, Yong Chen, Marylyn D. Ritchie and Jason H. Moore.