Special Lecture – Catherine R. Armbruster

Center for Causal Discovery University of Pittsburgh, Carnegie Mellon University, Pittsburgh Supercomputing Center and Yale University Title: Applying graphical causal models to the study of Pseudomonas aeruginosa pathoadaptation during cystic fibrosis chronic rhinosinusitis Speaker: Catherine R. Armbruster  – Postdoctoral Scholar, The Laboratory of Jennifer M. Bomberger, Department of Microbiology and […]

2017 CCD Datathon Winners

Center for Causal Discovery Datathon Winners for 2017 The Center for Causal Discovery (CCD) held the second annual datathon at the end of the 2017 Summer Short Course on Causal Discovery at Carnegie Mellon University, Pittsburgh, Pennsylvania. The five day course from June 12 to 16 included three and a […]


The Center for Causal Discovery will hold its second annual Summer Short Course in Causal Discovery from Biomedical Data at Carnegie Mellon University, Pittsburgh, PA on June 13-17, 2016. The Course will be similar to the 2015 offering (http://www.ccd.pitt.edu/training/summer-short-course-2015/) but will invite registrants to bring their own biomedical data to […]

Causal Discovery in the Cloud

Two Big Data to Knowledge (BD2K) Centers of Excellence, the Center for Causal Discovery (CCD) in Pittsburgh and the Patient-Centered Informatics Common: Standardized Unification of Research Elements (PIC-SURE) at Harvard Medical School, have been awarded a supplement of $653,000 from the National Institutes of Health to prototype a federated data […]

Help CCD Plan its First Hackathon

A key goal at the CCD is the development of user-friendly software to help the scientific community better understand and more easily incorporate causal modeling and discovery in biomedical research. We are planning a hackathon to address the causal modeling needs of our users and are seeking feedback on two potential activities: a Traditional Coding Hackathon for […]

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